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主动型磁浮轴承的非线性模糊控制 被引量:6
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作者 杨静 何钦象 李旗 《机械科学与技术》 CSCD 北大核心 2000年第2期244-245,共2页
提出的主动型磁浮轴承非线性模糊控制简化了系统结构 。
关键词 主动型 磁浮轴承 非线性模糊控制
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发电机励磁的非线性解析模糊控制 被引量:15
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作者 程远楚 漆为民 +1 位作者 叶鲁卿 蔡维由 《中国电机工程学报》 EI CSCD 北大核心 2003年第9期121-125,共5页
该文引入非线性函数建立了一种新的解析模糊控制器用于发电机的电压控制,并引入变结构控制的思想来进行附加励磁控制,建立了一种发电机模糊励磁控制器结构,并兼顾电压调节精度和增强阻尼要求进行电压控制与稳定控制的协调。对所论非线... 该文引入非线性函数建立了一种新的解析模糊控制器用于发电机的电压控制,并引入变结构控制的思想来进行附加励磁控制,建立了一种发电机模糊励磁控制器结构,并兼顾电压调节精度和增强阻尼要求进行电压控制与稳定控制的协调。对所论非线性解析模糊控制器的动态特性分析表明所论控制器为一本质非线性PID控制器。在控制过程中,所论模糊控制器的规则基于误差和误差变化率的大小在线调整,因而具有规则自适应的特性。实际使用时,无需进行控制规则的设计,只需根据工程控制经验对控制参数进行初选,简化了控制设计。仿真研究表明:所论模糊励磁控制器可以提高发电机的电压控制精度和电力系统的稳定性。 展开更多
关键词 发电机 励磁系统 非线性解析模糊控制 非线性函数 电力系统稳定
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基于模糊控制技术的感应电动机软起动研究 被引量:5
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作者 杜江 杜太行 刘艳萍 《电力电子技术》 CSCD 北大核心 2007年第1期67-68,74,共3页
用常规PID算法控制非线性、强耦合性的感应电动机起动时,难以获得满意的起动效果,为此提出了一种带加权因子的模糊控制策略。该方法根据起动电流变化实时调整模糊控制规则,并通过优化加权因子,有效解决了电机起动时容易发生电流、转矩... 用常规PID算法控制非线性、强耦合性的感应电动机起动时,难以获得满意的起动效果,为此提出了一种带加权因子的模糊控制策略。该方法根据起动电流变化实时调整模糊控制规则,并通过优化加权因子,有效解决了电机起动时容易发生电流、转矩振荡的问题。介绍了控制系统软硬件组成。仿真及实验结果表明了该方法的正确性。 展开更多
关键词 感应电动机 软起动 非线性/模糊控制 加权因子
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弯曲木加工机器人柔性臂的控制策略研究 被引量:1
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作者 丛宪冬 任希臣 靳凤林 《林业机械与木工设备》 北大核心 2003年第5期7-9,共3页
综述了国内外机器人柔性臂控制策略研究的最新成果,结合弯曲木加工机器人柔性臂的特点,选用了非线性模糊控制的控制方法。提出了一种简化模糊控制的方案,大大减少了模糊控制规则的数目,简化了控制策略、控制器的设计及调整过程。
关键词 压缩弯曲木 工业机器人 柔性臂 控制策略 非线性模糊控制 控制 木材弯曲
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Direct adaptive fuzzy control based on integral-type Lyapunov function 被引量:4
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作者 张天平 朱清 +1 位作者 张惠艳 顾海军 《Journal of Southeast University(English Edition)》 EI CAS 2003年第1期92-97,共6页
A new scheme of direct adaptive fuzzy controller for a class of nonlinear systems with unknown triangular control gain structure is proposed. The design is based on the principle of sliding mode control and the approx... A new scheme of direct adaptive fuzzy controller for a class of nonlinear systems with unknown triangular control gain structure is proposed. The design is based on the principle of sliding mode control and the approximation capability of the first type fuzzy systems. By introducing integral-type Lyapunov function and adopting the adaptive compensation term of optimal approximation error, the closed-loop control system is proved to be globally stable, with tracking error converging to zero. Simulation results demonstrate the effectiveness of the approach. 展开更多
关键词 fuzzy systems fuzzy control adaptive control global stability
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The Application and Design of the Economical Nonlinear Controller
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作者 陈杰 龚至豪 +1 位作者 陈绿深 周宁 《Journal of Beijing Institute of Technology》 EI CAS 1995年第1期47+42-47,共7页
This anticle gives a design method of the economical nonlinear controller. The controller is composed of an expert intelligent coordination controller, a fuzzy prediction controller, a fuzzy feedforward controller, a ... This anticle gives a design method of the economical nonlinear controller. The controller is composed of an expert intelligent coordination controller, a fuzzy prediction controller, a fuzzy feedforward controller, a nonlinear controller and so on. The consistence of a distributed control system based on this controller is also shown briefly. 展开更多
关键词 fuzzy control theory nonlinear control system predictions distributed control system/intelligent control
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Design of H_∞ robust fault detection filter for nonlinear time-delay systems 被引量:4
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作者 BAI Lei-shi HE Li-ming +1 位作者 TIAN Zuo-hua SHI Song-jiao 《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》 SCIE EI CAS CSCD 2006年第10期1733-1741,共9页
In this paper, the robust fault detection filter (RFDF) design problems are studied for nonlinear time-delay systems with unknown inputs. First, a reference residual model is introduced to formulate the RFDF design pr... In this paper, the robust fault detection filter (RFDF) design problems are studied for nonlinear time-delay systems with unknown inputs. First, a reference residual model is introduced to formulate the RFDF design problem as an H∞ model-matching problem. Then appropriate input/output selection matrices are introduced to extend a performance index to the time-delay systems in time domain. The reference residual model designed according to the performance index is an optimal residual generator, which takes into account the robustness against disturbances and sensitivity to faults simultaneously. Applying robust H∞ optimization control technique, the existence conditions of the RFDF for nonlinear time-delay systems with unknown inputs are presented in terms of linear matrix inequality (LMI) formulation, independently of time delay. An illustrative design example is used to demonstrate the validity and applicability of the proposed approach. 展开更多
关键词 Nonlinear time-delay systems Robust fault detection filter iRFDF H∞ optimization Linear matrix inequality (LMI)
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Improvement of Dynamic and Steady Characteristics of Pneumatic Position Servo with Fuzzy-PI Control
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作者 杨功军 赵彤 《Journal of Beijing Institute of Technology》 EI CAS 1995年第1期57+53-57,共6页
This paper provided a fuzzy-PI control. It makes use of the advantages of fuzzy controller for dynamic characteristics, and the advantages of PI control for steady characteristics of pneumatic position servo. Experime... This paper provided a fuzzy-PI control. It makes use of the advantages of fuzzy controller for dynamic characteristics, and the advantages of PI control for steady characteristics of pneumatic position servo. Experimental results show that positioning accuracy meets the conventional industrial needs, and prove that the fuzzy-PI controller to be correct and more effective than the usual PID controller. The control method improve the dynamic and steady characteristics of the system. 展开更多
关键词 non-linear control system fuzzy control/pneumatic position servo fuzzy-PI control
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Nonlinear modeling of molten carbonate fuel cell stack and FGA-based fuzzy control 被引量:1
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作者 戚志东 朱新坚 曹广益 《Journal of Shanghai University(English Edition)》 CAS 2006年第2期144-150,共7页
To improve the performance of fuel cells, the operating temperature of molten carbonate fuel cell (MCFC) stack should be controlled within a specified range. In this paper, with the RBF neural network’s ability of id... To improve the performance of fuel cells, the operating temperature of molten carbonate fuel cell (MCFC) stack should be controlled within a specified range. In this paper, with the RBF neural network’s ability of identifying complex nonlinear systems, a neural network identification model of MCFC stack is developed based on the sampled input-output data. Also, a novel online fuzzy control procedure for the temperature of MCFC stack is developed based on the fuzzy genetic algorithm (FGA). Parameters and rules of the fuzzy controller are optimized. With the neural network identification model, simulation of MCFC stack control is carried out. Validity of the model and the superior performance of the fuzzy controller are demonstrated. 展开更多
关键词 molten carbonate fuel cell (MCFC) neural network genetic algorithm fuzzy genetic algorithms (FGA).
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Adaptive control using interval Type-2 fuzzy logic for uncertain nonlinear systems 被引量:5
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作者 周海波 应浩 段吉安 《Journal of Central South University》 SCIE EI CAS 2011年第3期760-766,共7页
A new adaptive Type-2 (T2) fuzzy controller was developed and its potential performance advantage over adaptive Type-1 (T1) fuzzy control was also quantified in computer simulation. Base on the Lyapunov method, th... A new adaptive Type-2 (T2) fuzzy controller was developed and its potential performance advantage over adaptive Type-1 (T1) fuzzy control was also quantified in computer simulation. Base on the Lyapunov method, the adaptive laws with guaranteed system stability and convergence were developed. The controller updates its parameters online using the laws to control a system and tracks its output command trajectory. The simulation study involving the popular inverted pendulum control problem shows theoretically predicted system stability and good tracking performance. And the comparison simulation experiments subjected to white noige or step disturbance indicate that the T2 controller is better than the T1 controller by 0--18%, depending on the experiment condition and performance measure. 展开更多
关键词 Type-2 fuzzy systems adaptive fuzzy control nonlinear systems stability
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Terminal Sliding Mode Fuzzy Control Based on Multiple Sliding Surfaces for Nonlinear Ship Autopilot Systems 被引量:2
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作者 袁雷 吴汉松 《Journal of Marine Science and Application》 2010年第4期425-430,共6页
A terminal sliding mode fuzzy control based on multiple sliding surfaces was proposed for ship course tracking steering, which takes account of rudder characteristics and parameter uncertainty. In order to solve the p... A terminal sliding mode fuzzy control based on multiple sliding surfaces was proposed for ship course tracking steering, which takes account of rudder characteristics and parameter uncertainty. In order to solve the problem, the controller was designed by employing the universal approximation property of fuzzy logic system, the advantage of Nussbaum function, and using multiple sliding mode control algorithm based on the recursive technique. In the last step of designing, a nonsingular terminal sliding mode was utilized to drive the last state of the system to converge in a finite period of time, and high-order sliding mode control law was designed to eliminate the chattering and make the system robust. The simulation results showed that the controller designed here could track a desired course fast and accurately. It also exhibited strong robustness peculiarly to system, and had better adaptive ability than traditional PID control algorithms. 展开更多
关键词 ship course control unmatched uncertainty multiple sliding mode control nonsingular terminal sliding mode control ROBUSTNESS
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Application of Fuzzy-PID Control System in Full-Mechanized Coal Face
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作者 LUKui TANGPei-rongt YANGWei-min 《Journal of China University of Mining and Technology》 EI 2005年第1期48-51,共4页
The control system, which includes structure, the composition of software and hardware, the form of PID control system and its systematic closed-loop, was used in No.4236 full-mechanized coal face of Xinlongzhuang min... The control system, which includes structure, the composition of software and hardware, the form of PID control system and its systematic closed-loop, was used in No.4236 full-mechanized coal face of Xinlongzhuang mine. The typical fuzzy PID control system structure was investigated, and a simplified fuzzy PID control system was taken the place of the complex three-dimension fuzzy controller. Based on the parameter relation between fuzzy controller and normal PID controller, a common method of parameter adjustment of PID controller was summed up and the computer simulation was realized. This system can overcome the problems of large delay, nonlinear, poor running en- vironment and great load change in the full-mechanized coal face. The simulating investigation indicates that the de- signing method of fuzzy controller is simple and feasible. 展开更多
关键词 full-mechanized coal face NONLINEAR COMPUTER fuzzy control PID control
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A kind of fuzzy control for chaotic systems
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作者 王宏伟 马广富 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2007年第1期140-143,共4页
With a T-S fuzzy dynamic model approximating to a non-linear system,the nonlinear system can be decomposed into some local linear models.A variable structure controller based on Lyapunov theories is designed to guaran... With a T-S fuzzy dynamic model approximating to a non-linear system,the nonlinear system can be decomposed into some local linear models.A variable structure controller based on Lyapunov theories is designed to guarantee the global stability of the T-S fuzzy model.The controlling problems of a nonlinear system can be solved by means of consisting of linear system variable structure control and fuzzy control.The validity of the control method based on the simulating result of two kinds of chaotic systems is shown here. 展开更多
关键词 nonlinear system fuzzy variable structure control chaotic systems
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Nonlinear Modeling and Neuro-Fuzzy Control of PEMFC
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作者 孙涛 卫东 +1 位作者 曹广益 朱新坚 《Journal of Shanghai Jiaotong university(Science)》 EI 2005年第3期274-279,共6页
The proton exchange membrane generation technology is highly efficient, and clea n and is considered as the most hopeful “green” power technology. The operatin g principles of proton exchange membrane fuel cell (PEM... The proton exchange membrane generation technology is highly efficient, and clea n and is considered as the most hopeful “green” power technology. The operatin g principles of proton exchange membrane fuel cell (PEMFC) system involve thermody namics, electrochemistry, hydrodynamics and mass transfer theory, which comprise a complex nonlinear system, for which it is difficult to establish a mathematic al model and control online. This paper analyzed the characters of the PEMFC; an d used the approach and self-study ability of artificial neural networks to bui ld the model of nonlinear system, and adopted the adaptive neural-networks fuzz y infer system to build the temperature model of PEMFC which is used as the refe rence model of the control system, and adjusted the model parameters to control online. The model and control were implemented in SIMULINK environment. The resu lts of simulation show the test data and model have a good agreement. The model is useful for the optimal and real time control of PEMFC system. 展开更多
关键词 proton exchange membrane fuel cell (PEMFC) adaptive neural-networks fuzzy infer system(ANFIS) MODELING neural network
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Multimodel Approach for Intelligent Control and Applications
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作者 Abdelkader El Kamel Pierre Borne 《Journal of Donghua University(English Edition)》 EI CAS 2004年第3期15-20,共6页
The use of the multimodel approach in the modelling, analysis and control of non-linear complex and/or ill-defined systems was advocated by many researchers. This approach supposes the definition of a set of local mod... The use of the multimodel approach in the modelling, analysis and control of non-linear complex and/or ill-defined systems was advocated by many researchers. This approach supposes the definition of a set of local models valid in a given region or domain. Different strategies exist in the literature and are generally based on a partitioning of the non-linear system’s full range of operation into multiple smaller operating regimes each of which is associated with a locally valid model or controller. However, most of these strategies, which suppose the determination of these local models as well as their validity domain, remain arbitrary and are generally fixed thanks to a certain a priori knowledge of the system whatever its order. Recently, we have proposed a new approach to derive a multimodel basis which allows us to limit the number of models in the basis to almost four models. Meanwhile, the transition problem between the different models, which may use either a simple commutation or a fusion technique, remains still arise. In this plenary talk, a fuzzy fusion technique is presented and has the following main advantages: (1) use of a fuzzy partitioning in order to determine the validity of each model which enhances the robustness of the solution; 2 introduction, besides the four extreme models, of another model, called average model, determined as an average of the boundary models. 展开更多
关键词 multimodel fuzzy fusion average model
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Direct Adaptive Fuzzy Based Backstepping Control of Semi Strict Feedback Nonlinear Systems
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作者 Raoudha Ben Khaled Chaouki Mnasri Moncef Gasmi 《Computer Technology and Application》 2011年第11期884-892,共9页
In this paper, a direct adaptive fuzzy tracking control is proposed for a class of uncertain single-input single-output nonlinear semi-strict feedback systems. Based on Takagi-Sugeno type fuzzy systems, a direct adapt... In this paper, a direct adaptive fuzzy tracking control is proposed for a class of uncertain single-input single-output nonlinear semi-strict feedback systems. Based on Takagi-Sugeno type fuzzy systems, a direct adaptive fuzzy tracking controller is developed by using the backstepping approach. The main advantage of the developed method is that for an n-th order system, only one parameter is needed to be adjusted online. It is proven that, under the appropriate assumptions, the developed scheme can achieve that the output system converges to a small neighborhood of the reference signal and all the signals in the closed-loop system remain bounded. The efficacy of the proposed algorithm is investigated by an illustrative simulation example of one link robot. 展开更多
关键词 Direct adaptive fuzzy control perturbed nonlinear systems strict feedback form backstepping design output tracking
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Study on Rotational Stabilization in a Laser Tracking System 被引量:4
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作者 于爽 赵言正 《Journal of Shanghai Jiaotong university(Science)》 EI 2009年第3期316-320,共5页
The high rolling speed of a missile heavily affects the stabilizing capability of the inertial platform in the laser tracking system (LTS) of the missile. In this paper, a rotational stabilizing platform (RSP) and... The high rolling speed of a missile heavily affects the stabilizing capability of the inertial platform in the laser tracking system (LTS) of the missile. In this paper, a rotational stabilizing platform (RSP) and a fuzzy-PID controller is designed to stabilize the inertial platform. This controller integrates the advantages of both fuzzy controller and classic PID controller. A comparison study is carried out to illustrate the advantages of the proposed fuzzy-PID controller over the classic PID controller. Numerical results indicate that the fuzzy-PID controller outperforms the classic one in effectively handling nonlinear disturbances and quickly stabilizing the inertial platform at the sudden change of missile roiling speed. 展开更多
关键词 rotational stabilizing platform fuzzy-PID control laser tracking system nonlinear disturbance
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Derivation and analysis on the analytical structure of interval type-2 fuzzy controller with two nonlinear fuzzy sets for each input variable
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作者 Bin-bin LEI Xue-chao DUAN +1 位作者 Hong BAO Qian XU 《Frontiers of Information Technology & Electronic Engineering》 SCIE EI CSCD 2016年第6期587-602,共16页
Type-2 fuzzy controllers have been mostly viewed as black-box function generators. Revealing the analytical structure of any type-2 fuzzy controller is important as it will deepen our understanding of how and why a ty... Type-2 fuzzy controllers have been mostly viewed as black-box function generators. Revealing the analytical structure of any type-2 fuzzy controller is important as it will deepen our understanding of how and why a type-2 fuzzy controller functions and lay a foundation for more rigorous system analysis and design. In this study, we derive and analyze the analytical structure of an interval type-2 fuzzy controller that uses the following identical elements: two nonlinear interval type-2 input fuzzy sets for each variable, four interval type-2 singleton output fuzzy sets, a Zadeh AND operator, and the Karnik-Mendel type reducer. Through dividing the input space of the interval type-2 fuzzy controller into 15 partitions, the input-output relationship for each local region is derived. Our derivation shows explicitly that the controller is approximately equivalent to a nonlinear proportional integral or proportional differential controller with variable gains. Furthermore, by comparing with the analytical structure of its type-1 counterpart, potential advantages of the interval type-2 fuzzy controller are analyzed. Finally, the reliability of the analysis results and the effectiveness of the interval type-2 fuzzy controller are verified by a simulation and an experiment. 展开更多
关键词 Interval type-2 fuzzy controller Analytical structure Karnik-Mendel type reducer
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