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Vehicle Dynamics Modeling and Simulation for ACC 被引量:3
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作者 李径亮 刘昭度 李志远 《Journal of Beijing Institute of Technology》 EI CAS 2010年第1期53-57,共5页
A 7 degree-of-freedom (DOF) 4 wheels vehicle dynamics model based on Matlab-Simulink is established,and 7 DOF vehicle dynamics equations in the form of nonlinear state-space standards are given.The characters of the... A 7 degree-of-freedom (DOF) 4 wheels vehicle dynamics model based on Matlab-Simulink is established,and 7 DOF vehicle dynamics equations in the form of nonlinear state-space standards are given.The characters of the electronic throttle and the active braking system have been analyzed.And the electronic throttle model and the active braking system model are built according to the test results respectively.Off-line simulation results indicate that the model is suitable for the vehicle adaptive cruise control system,and both of the electronic throttle and the active braking system work in a reasonable way.An adaptive cruise control (ACC) example illustrates that the model has a good performance in cruise and distance keeping. 展开更多
关键词 vehicle dynamics modelING simulation adaptive cruise control (ACC)
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Robust Modeling, Sliding-Mode Controller, and Simulation of an Underactuated ROV Under Parametric Uncertainties and Disturbances 被引量:2
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作者 Mostafa Eslami Cheng Siong Chin Amin Nobakhti 《Journal of Marine Science and Application》 CSCD 2019年第2期213-227,共15页
A dynamic model of a remotely operated vehicle(ROV)is developed.The hydrodynamic damping coefficients are estimated using a semi-predictive approach and computational fluid dynamic software ANSYS-CFX?and WAMIT?.A slid... A dynamic model of a remotely operated vehicle(ROV)is developed.The hydrodynamic damping coefficients are estimated using a semi-predictive approach and computational fluid dynamic software ANSYS-CFX?and WAMIT?.A sliding-mode controller(SMC)is then designed for the ROV model.The controller is subsequently robustified against modeling uncertainties,disturbances,and measurement errors.It is shown that when the system is subjected to bounded uncertainties,the SMC will preserve stability and tracking response.The paper ends with simulation results for a variety of conditions such as disturbances and parametric uncertainties. 展开更多
关键词 Remotely operated vehicle ROBUST modelING Sliding-mode control simulation Disturbances PARAMETRIC UNCERTAINTIES
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Simulation Analysis of New Energy Vehicle Engine Cooling System Based on K-E Turbulent Flow Mathematical Model
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作者 Hongyu Mu Yinyan Wang +7 位作者 Chuanlei Yang Hong Teng Xingtian Zhao Hongquan Lu Dechun Wang Shiyang Hao Xiaolong Zhang Yan Jin 《Energy Engineering》 EI 2023年第10期2325-2342,共18页
New energy vehicles have better clean and environmental protection characteristics than traditional fuel vehicles.The new energy engine cooling technology is critical in the design of new energy vehicles.This paper us... New energy vehicles have better clean and environmental protection characteristics than traditional fuel vehicles.The new energy engine cooling technology is critical in the design of new energy vehicles.This paper used oneand three-way joint simulation methods to simulate the refrigeration system of new energy vehicles.Firstly,a k-εturbulent flow model for the cooling pump flow field is established based on the principle of computational fluid dynamics.Then,the CFD commercial fluid analysis software FLUENT is used to simulate the flow field of the cooling pump under different inlet flow conditions.This paper proposes an optimization scheme for new energy vehicle engines’“boiling”phenomenon under high temperatures and long-time climbing conditions.The simulation results show that changing the radiator’s structure and adjusting the thermostat’s parameters can solve the problem of a“boiling pot.”The optimized new energy vehicle engine can maintain a better operating temperature range.The algorithm model can reference each cryogenic system component hardware selection and control strategy in the new energy vehicle’s engine. 展开更多
关键词 New energy vehicle new energy vehicle engine k-ε turbulent flow mathematical model cooling system PID control
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Analyses and Simulation of Fuzzy Logic Control for Suspension System of a Track Vehicle
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作者 于杨 魏雪霞 张永发 《Journal of Beijing Institute of Technology》 EI CAS 2008年第2期164-167,共4页
The vibration caused by terrible road excitation affects the ride quality and safety of track vehicles. The vibration control of suspension systems is a very important factor for modern track vehicles. A fuzzy logic c... The vibration caused by terrible road excitation affects the ride quality and safety of track vehicles. The vibration control of suspension systems is a very important factor for modern track vehicles. A fuzzy logic control for suspension system of a track vehicle is presented. A mechanical model and a system of difft, rential equations of motion taking account of the mass of loading wheel are established. Then the fuzzy logic control is applied to control the vibration of suspension system of track vehicles for sine signal and random road surfaces. Numerical simulation shows that the maximum acceleration of suspension system can be reduced to 44 % of the original value for sine signal road surface, and the mean square root of acceleration of suspension system can be reduced to 21% for random road surface. Therefore, the proposed fuzzy logic control is an efficient method for the suspension systems of track vehicles. 展开更多
关键词 suspension system track vehicle VIBRATION fuzzy logic control numerical simulation
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Dynamic Simulation of the Aircraft Environmental Control System 被引量:6
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作者 何君 赵竞全 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2001年第3期129-133,共5页
The dynamic research of aircraft environmental control system (ECS) is an important step in the advanced ECS design process. Based on the thermodynamics theory, mathematical models for the dynamic performance simulati... The dynamic research of aircraft environmental control system (ECS) is an important step in the advanced ECS design process. Based on the thermodynamics theory, mathematical models for the dynamic performance simulating of aircraft ECS were set up and an ECS simulation toolbox (ECS_1.0) was created with MATLAB language. It consists of main component modules (ducts, valves, heat exchangers, compressor, turbine, etc.). An aircraft environmental control system computer model was developed to assist engineers with the design and development of ECS dynamic optimization. An example simulating an existing ECS was given which shows the satisfactory effects. 展开更多
关键词 Aircraft engines Compressors Computer programming languages Computer simulation control system analysis Heat exchangers Mathematical models OPTIMIZATION
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A Fuzzy Adaptive Algorithm Based on“Current”Statistical Model for Maneuvering Target Tracking 被引量:1
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作者 王向华 覃征 +1 位作者 杨慧杰 杨新宇 《Defence Technology(防务技术)》 SCIE EI CAS 2010年第3期194-199,共6页
The basic"current"statistical model and adaptive Kalman filter algorithm can not track a weakly maneuvering target precisely,though it has good estimate accuracy for strongly maneuvering target.In order to s... The basic"current"statistical model and adaptive Kalman filter algorithm can not track a weakly maneuvering target precisely,though it has good estimate accuracy for strongly maneuvering target.In order to solve this problem,a novel nonlinear fuzzy membership function was presented to adjust the upper and lower limit of target acceleration adaptively,and then the validity of the new algorithm for feeblish maneuvering target was proved in theory.At last,the computer simulation experiments indicated that the new algorithm has a great advantage over the basic"current"statistical model and adaptive algorithm. 展开更多
关键词 control theory maneuvering target tracking "current"statistical model fuzzy control simulation analyses
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A Practical Approach of Developing Mathematical Model for All Speed Governors 被引量:3
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作者 王永生 Dennis N.Assanis 张煜盛 《Journal of Shanghai Jiaotong university(Science)》 EI 2005年第2期175-181,共7页
The paper introduced a special approach for diesel’s all-speed-governor modeling, which, in some cases, could solve the knotty problem frequently met in computer simulation of diesel propulsion system or diesel gener... The paper introduced a special approach for diesel’s all-speed-governor modeling, which, in some cases, could solve the knotty problem frequently met in computer simulation of diesel propulsion system or diesel generating set. Suppose that it is hard to get a control-oriented governor mathematical model when the general approaches, the analytical approach or the experimental approach, are applied, and that an open-loop step response of the diesel engine and its system is available by means of computer simulation, the critical three parameters of a governor mathematical model, the proportional gain K_p, integral time constant K_i, and derivative time constant K_d, can be determined by use of PID tuning method which are widely applied in industrial process control. This paper discussed the train of thought of the approach, precondition, procedure, several modifications of the classical PID model, and some points for attention. A couple of case studies were given to demonstrate the effectiveness of this approach. 展开更多
关键词 computer simulation mathematical model diesel engine speed governor PID controller
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T-S Fuzzy Model-Based Depth Control of Underwater Vehicles 被引量:2
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作者 QIAN Yuan FENG Zhengping +1 位作者 BI Anyuan LIU Weiqi 《Journal of Shanghai Jiaotong university(Science)》 EI 2020年第3期315-324,共10页
A T-S fuzzy model with two rules is established to exactly describe the nonlinear uncertain heave dynamics of underwater vehicles with bounded heave speed.A single linear-matrix-inequality-based (LMI-based) state feed... A T-S fuzzy model with two rules is established to exactly describe the nonlinear uncertain heave dynamics of underwater vehicles with bounded heave speed.A single linear-matrix-inequality-based (LMI-based) state feedback controller is then synthesized to guarantee the global stability of the depth control system.Simulation results verify the effectiveness of the proposed approach in comparison with linear-quadratic regulator (LQR) method.Nonlinear disturbance observer is appended to the system when the underwater vehicles are affected by the gravity-buoyancy imbalance.The two-stage control method is effective to stabilize an uncertain system with both parameter uncertainties and external disturbances. 展开更多
关键词 underwater vehicles UNCERTAINTY depth control T-S fuzzy model
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System Simulation Science and Simulation System Technology
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作者 Chuanyuan, Wen 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 1993年第4期2-11,共10页
This paper mainly discusses the following problems: the important meaning and special function of simulation system; the definition, contents and relationship of system and system simulation science; the definition an... This paper mainly discusses the following problems: the important meaning and special function of simulation system; the definition, contents and relationship of system and system simulation science; the definition and technology of simulation system and its equipments; and systematic description and exploration in relation to the developing trend of system simulation science and simulation system technology. 展开更多
关键词 Analog computers control systems Digital computers Flight simulators Mathematical models Systems analysis Systems engineering Systems science Technology
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Pilot time-varying control behavior modeling in refractory period with aircraft failures
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作者 XU ShuTing TAN WenQian +1 位作者 WANG WeiJun SUN LiGuo 《Science China(Technological Sciences)》 SCIE EI CAS CSCD 2023年第7期2000-2012,共13页
Modeling human pilot control behavior aims to understand and describe how humans control aircrafts and devices,to provide a foundation for the study of the dynamic characteristics of the human-vehicle system.In the pr... Modeling human pilot control behavior aims to understand and describe how humans control aircrafts and devices,to provide a foundation for the study of the dynamic characteristics of the human-vehicle system.In the presence of aircraft failures,the human pilot has a control process of the refractory period,which may cause adverse aircraft-pilot couplings,and even lead to loss-of-control events.This refractory period will make the pilot emerge with time-varying and adaptive features.This paper investigates how pilot control behavior changes to adapt to the aircraft failure situation and develops a time-varying pilot model during the refractory period.Six aviation pilots performed a human-in-the-loop simulation experiment on a ground flight simulator to simulate the failure situations for a pitch-tracking task.To characterize the pilot’s time-varying response mechanism,a time-frequency-spectrum method was used to analyze the pilot control signal.Main innovations in the proposed model can be embodied in the description of the fuzziness,time-varying,and adaptation of the pilot for the failures in the refractory period.Based on fuzzy logic theory,the pilot’s judgment and identification of failures are described.The adaptation of manual control behavior to time-varying aircraft dynamics is depicted by adaptive model theory.Time-domain and time-frequency-spectrum analysis show that the simulation results of the pilot model are consistent with the human-in-the-loop experimental results.The model simulation evaluations are within the range of the experimental evaluation,which shows the rationality of the timevarying behavior model of the human pilot in a failure refractory period.The model has practical values for guiding the pilot to deal with abnormal conditions and predicting nonlinear aircraft-pilot couplings. 展开更多
关键词 time-varying system human pilot model fuzzy control simulation aircraft-pilot couplings
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Controlling Torque Distribution for Parallel Hybrid Vehicle Based on Hierarchical Structure Fuzzy Logic 被引量:2
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作者 Huang Miao-hua, Jin Guo-dongCollege of Mechanic Science and Engineening, Huazhong University of Science and Technology, Wuhan 430074, Hu-bei, China 《Wuhan University Journal of Natural Sciences》 EI CAS 2003年第02A期419-424,共6页
The Hierarchical Structure Fuzzy Logic Control (HSFLC) strategies of torque distribute for Parallel Hybrid Electric Vehicle (PHEV) in the mode of operation of the vehicle i. e. , acceleration, cruise, deceleration etc... The Hierarchical Structure Fuzzy Logic Control (HSFLC) strategies of torque distribute for Parallel Hybrid Electric Vehicle (PHEV) in the mode of operation of the vehicle i. e. , acceleration, cruise, deceleration etc. have been studied. Using secondly developed the hybrid vehicle simulation tool ADVISOR, the dynamic model of PHEV has been set up by MATLAB/SIMULINK. The engine, motor as well as the battery characteristics have been studied. Simulation results show that the proposed hierarchical structured fuzzy logic control strategy is effective over the entire operating range of the vehicle in terms of fuel economy. Based on the analyses of the simulation results and driver’s experiences, a fuzzy controller is designed and developed to control the torque distribution. The controller is evaluated via hardware-in-the-loop simulator (HILS). The results show that controller verify its value. 展开更多
关键词 hybrid electric vehicle fuzzy logic control HARDWARE in the loop simulation
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Fuzzy Logic Control for Suspension Systems of Tracked Vehicles
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作者 于杨 魏雪霞 张永发 《Journal of Beijing Institute of Technology》 EI CAS 2009年第1期37-40,共4页
A scheme of fuzzy logic control for the suspension system of a tracked vehicle is presented. A mechanical model for the whole body of a tracked vehicle, which is totally a fifteen-degree-of-freedom system, is establis... A scheme of fuzzy logic control for the suspension system of a tracked vehicle is presented. A mechanical model for the whole body of a tracked vehicle, which is totally a fifteen-degree-of-freedom system, is established. The model includes the vertical motion, the pitch motion as well as the roll motion of the tracked vehicle. In contrast to most previous studies, the coupling effect among the vertical, the pitch and the roll motions of the suspension system of a tracked vehicle is considered simultaneously. The simulation of fuzzy logic control under road surface with random excitation shows that the acceleration, pitch angle and roll angle of suspension system can be efficiently controlled. 展开更多
关键词 suspension system tracked vehicle vibration control fuzzy logic control numerical simulation
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MODEL REFERENCE ADAPTIVE CONTROL BASED ON NONLINEAR COMPENSATION FOR TURBOFAN ENGINE 被引量:4
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作者 潘慕绚 黄金泉 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI 2012年第3期215-221,共7页
The design of a turbofan rotor speed control system, using model reference adaptive control(MRAC) method with input and output measurements, is discussed for the purpose of practical application. The nonlinear compe... The design of a turbofan rotor speed control system, using model reference adaptive control(MRAC) method with input and output measurements, is discussed for the purpose of practical application. The nonlinear compensator based on functional link neural network is used to deal with the engine nonlinearity and the hardware-in-loop simulation is also developed. The results show that the nonlinear MRAC controller has the adequate performance of compensating and adapting nonlinearity arising from the change of engine state or working environment. Such feature demonstrates potential practical applications of MRAC for aeroengine control system. 展开更多
关键词 turbofan engin model reference adaptive control(MRAC) functional link neural network (FLNN) hardware-in-loop(HIL) simulation
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A tunable fuzzy logic controller for the vehicle semi-active suspension system
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作者 方子帆 DENG +1 位作者 Zhaoxiang 《Journal of Chongqing University》 CAS 2002年第2期16-19,共4页
On the basis of analyzing the system constitution of vehicle semi-active suspension, a 4-DOF (degree of freedom) dynamic model is established. A tunable fuzzy logic controller is designed by using without quantificati... On the basis of analyzing the system constitution of vehicle semi-active suspension, a 4-DOF (degree of freedom) dynamic model is established. A tunable fuzzy logic controller is designed by using without quantification method and taking into account the uncertainty, nonlinearity and complexity of parameters for a vehicle suspension system. Simulation to test the performance of this controller is performed under random excitations and definite disturbances of a C grade road, and the effects of time delay and changes of system parameters on the vehicle suspension system are researched. The numerical simulation shows that the performance of the designed tunable fuzzy logic controller is effective, stable and reliable. 展开更多
关键词 vehicle semi-active suspension system fuzzy logic control simulation
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Finite Frequency Fuzzy H∞Control for Uncertain Active Suspension Systems With Sensor Failure 被引量:5
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作者 Zhenxing Zhang Hongyi Li +1 位作者 Chengwei Wu Qi Zhou 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2018年第4期777-786,共10页
This paper investigates the problem of finite frequency fuzzy H_∞ control for uncertain active vehicle suspension systems, in which sensor failure is taken into account. TakagiSugeno(T-S) fuzzy model is established f... This paper investigates the problem of finite frequency fuzzy H_∞ control for uncertain active vehicle suspension systems, in which sensor failure is taken into account. TakagiSugeno(T-S) fuzzy model is established for considered suspension systems. In order to describe the sensor fault effectively, a corresponding model is introduced. A vital performance index,H_∞ performance, is utilized to measure the drive comfort. In the framework of Kalman-Yakubovich-Popov theory, the H_∞ norm from external perturbation to controlled output is optimized effectively in the frequency domain of 4 Hz-8 Hz to enhance ride comfort level. Meanwhile, three suspension constrained requirements, i.e., ride comfort level, manipulation stability,suspension deflection are also guaranteed. Furthermore, sufficient conditions are developed to design a fuzzy controller to guarantee the desired performance of active suspension systems. Finally, the proposed control scheme is applied to a quarter-vehicle active suspension, and simulation results are given to illustrate the effectiveness of the proposed approach. 展开更多
关键词 Active vehicle suspension systems finite frequency control sensor failure Takagi-Sugeno fuzzy model
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A leveling mechanism for the platform based on booms-constraint control of aerial vehicle
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作者 张翠红 Cao Xuepeng +3 位作者 Jiao Shengjie Yang Bin Wang Guanhong Zhou Zhaoqiang 《High Technology Letters》 EI CAS 2017年第3期322-329,共8页
In order to achieve an automatic leveling function for work platforms of aerial vehicles with mixed-booms( MAV) in full elevating domain,an auto-leveling mechanism for the platform is proposed based on a control metho... In order to achieve an automatic leveling function for work platforms of aerial vehicles with mixed-booms( MAV) in full elevating domain,an auto-leveling mechanism for the platform is proposed based on a control method of booms-constraint,where mixed-boom structures and elevating characteristics are considered. Three models of constraint strategies include non-constraint model,elevating constraint model and lowering constraint model,which is designed to meet the leveling requirements in full working extent. Through the hydro-mechatronic unified modeling,a virtual prototype model is set up based on the auto-leveling mechanism,and leveling performances of the platform are studied during booms elevating to the maximum working height and extent. Simulation results show that the control method of booms-constraint can realize auto-leveling of the platform under two typical working conditions,meanwhile a leveling deviation appears at the constrained point,but the platform inclination is adjusted in the permissible range. The control method does not only restrict booms' freedom elevating to a certain extent,but also impacts the booms extending to the maximum working range. Experimental results verify that the auto-leveling mechanism based on booms-constraint control is valid and rational,which provides an effective technology approach for development of the platform leveling of MAV. 展开更多
关键词 mixed-booms aerial vehicle(MAV) platform leveling booms-constraint control model simulating
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Fuzzy logic for large mining bucket wheel reclaimer motion control—from an engineer's perspective 被引量:4
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作者 LU Tienfu 《智能系统学报》 2011年第1期85-94,共10页
The bucket wheel reclaimer(BWR) is a key piece of equipment which has been widely used for stacking and reclaiming bulk materials(i.e.iron ore and coal) in places such as ports,iron-steel plants,coal storage areas,and... The bucket wheel reclaimer(BWR) is a key piece of equipment which has been widely used for stacking and reclaiming bulk materials(i.e.iron ore and coal) in places such as ports,iron-steel plants,coal storage areas,and power stations from stockpiles.BWRs are very large in size,heavy in weight,expensive in price,and slow in motion.There are many challenges in attempting to automatically control their motion to accurately follow the required trajectories involving uncertain parameters from factors such as friction,turbulent wind,its own dynamics,and encoder limitations.As BWRs are always heavily engaged in production and cannot be spared very long for motion control studies and associated developments,a BWR model and simulation environment closely resembling real life conditions would be beneficial.The following research focused mainly on the implementation of fuzzy logic to a BWR motion control from an engineer's perspective.First,the modeling of a BWR including partially known parameters such as friction force and turbulence to the system was presented.This was then followed by the design of a fuzzy logic-based control built on a model-based control loop.The investigation provides engineers with an example of applying fuzzy logic in a model based approach to properly control the motion of a large BWR following defined trajectories,as well as to show possible ways of further improving the controller performance.The result indicates that fuzzy logic can be applied easily by engineers to overcome most motion control issues involving a large BWR. 展开更多
关键词 bucket wheel reclaimer modeling simulation motion control fuzzy logic
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HPSO-based fuzzy neural network control for AUV 被引量:1
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作者 Lei ZHANG Yongjie PANG Yumin SU Yannan LIANG 《控制理论与应用(英文版)》 EI 2008年第3期322-326,共5页
A fuzzy neural network controller for underwater vehicles has many parameters difficult to tune manually. To reduce the numerous work and subjective uncertainties in manual adjustments, a hybrid particle swarm optimiz... A fuzzy neural network controller for underwater vehicles has many parameters difficult to tune manually. To reduce the numerous work and subjective uncertainties in manual adjustments, a hybrid particle swarm optimization (HPSO) algorithm based on immune theory and nonlinear decreasing inertia weight (NDIW) strategy is proposed. Owing to the restraint factor and NDIW strategy, an HPSO algorithm can effectively prevent premature convergence and keep balance between global and local searching abilities. Meanwhile, the algorithm maintains the ability of handling multimodal and multidimensional problems. The HPSO algorithm has the fastest convergence velocity and finds the best solutions compared to GA, IGA, and basic PSO algorithm in simulation experiments. Experimental results on the AUV simulation platform show that HPSO-based controllers perform well and have strong abilities against current disturbance. It can thus be concluded that the proposed algorithm is feasible for application to AUVs. 展开更多
关键词 Autonomous underwater vehicle fuzzy neural network model reference adaptive control Particle swarm optimization algorithm Immune theory
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Output Feedback Dynamic Surface Controller Design for Airbreathing Hypersonic Flight Vehicle 被引量:4
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作者 Delong Hou Qing Wang Chaoyang Dong 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI 2015年第2期186-197,共12页
This paper addresses issues related to nonlinear robust output feedback controller design for a nonlinear model of airbreathing hypersonic vehicle. The control objective is to realize robust tracking of velocity and a... This paper addresses issues related to nonlinear robust output feedback controller design for a nonlinear model of airbreathing hypersonic vehicle. The control objective is to realize robust tracking of velocity and altitude in the presence of immeasurable states, uncertainties and varying flight conditions. A novel reduced order fuzzy observer is proposed to estimate the immeasurable states. Based on the information of observer and the measured states, a new robust output feedback controller combining dynamic surface theory and fuzzy logic system is proposed for airbreathing hypersonic vehicle. The closedloop system is proved to be semi-globally uniformly ultimately bounded (SUUB), and the tracking error can be made small enough by choosing proper gains of the controller, filter and observer. Simulation results from the full nonlinear vehicle model illustrate the effectiveness and good performance of the proposed control scheme. © 2014 Chinese Association of Automation. 展开更多
关键词 Altitude control Feedback control fuzzy logic Hypersonic aerodynamics Hypersonic vehicles Nonlinear feedback Robust control Tracking (position) Uncertainty analysis vehicles
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车辆半车半主动悬挂系统PSO-Fuzzy混合控制策略 被引量:1
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作者 赵羊羊 雒琦 +4 位作者 韩威 牟晓斌 田斌 马圣杰 吴向峰 《农业装备与车辆工程》 2023年第10期32-37,共6页
为了提升车辆半车半主动悬挂系统模糊控制精度,研究了一种基于PSO寻优的Fuzzy控制算法。根据车辆半车半主动悬挂系统力学原理建立动力学模型,用2个Fuzzy控制器分别控制前后转向架二系悬挂中的磁流变阻尼器,以此设计Fuzzy控制策略。利用... 为了提升车辆半车半主动悬挂系统模糊控制精度,研究了一种基于PSO寻优的Fuzzy控制算法。根据车辆半车半主动悬挂系统力学原理建立动力学模型,用2个Fuzzy控制器分别控制前后转向架二系悬挂中的磁流变阻尼器,以此设计Fuzzy控制策略。利用PSO算法对Fuzzy控制器的量化因子Ka、Kv及比例因子Ki进行优化,得到PSO-Fuzzy控制策略。MATLAB/Simulink仿真结果表明,相比Fuzzy控制,基于PSO-Fuzzy优化控制下的车辆半车半主动悬挂系统性能得到显著提高,取得了更好的控制效果。 展开更多
关键词 半车半主动悬挂系统 fuzzy控制 PSO优化 MATLAB/SIMULINK仿真
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