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OPTIMAL TORQUE CONTROL STRATEGY FOR PARALLEL HYBRID ELECTRIC VEHICLE WITH AUTOMATIC MECHANICAL TRANSMISSION 被引量:12
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作者 GU Yanchun YIN Chengliang ZHANG Jianwu 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2007年第1期16-20,共5页
In parallel hybrid electrical vehicle (PHEV) equipped with automatic mechanical transmission (AMT), the driving smoothness and the clutch abrasion are the primary considerations for powertrain control during gears... In parallel hybrid electrical vehicle (PHEV) equipped with automatic mechanical transmission (AMT), the driving smoothness and the clutch abrasion are the primary considerations for powertrain control during gearshift and clutch operation. To improve these performance indexes of PHEV, a coordinated control system is proposed through the analyzing of HEV powertrain dynamic characteristics. Using the method of minimum principle, the input torque of transmission is optimized to improve the driving smoothness of vehicle. Using the methods of fuzzy logic and fuzzy-PID, the engaging speed of clutch and the throttle opening of engine are manipulated to ensure the smoothness of clutch engagement and reduce the abrasion of clutch friction plates. The motor provides the difference between the required input torque of transmission and the torque transmitted through clutch plates. Results of simulation and experiments show that the proposed control strategy performs better than the contrastive control system, the smoothness of driving and the abrasion of clutch can be improved simultaneously. 展开更多
关键词 Parallel hybrid electric vehicle (PHEV) Automatic mechanical transmission (AMT) Driving smoothness Clutch abrasion optimal control Fuzzy logic control
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Research on the Game Theory and Logic Optimization and the Applications on Construction of China's New Energy Subsidy System
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作者 Yi Kuang 《International Journal of Technology Management》 2016年第10期38-40,共3页
In this paper, we conduct research on the game theory and the logic optimization and the applications on construction of China’s new energy subsidy system. The management of energy and the general optimization of ene... In this paper, we conduct research on the game theory and the logic optimization and the applications on construction of China’s new energy subsidy system. The management of energy and the general optimization of energy structure play an important role in the development of the national economy and the upgrading of industrial structure. Therefore, it is the inevitable choice to build a well-off society in an all-round way. The energy projects management in tradition adopts way from bottom to top, namely from the floor of project management starts to collect the data, progressive upward transmission to the high-level, after analysis carries on the management and control to the project, this method had guaranteed the project pays according to progress, quality, cost and other requests, in view of the management of single project. This paper integrates the game theory and the logic optimization to construct the revised system that will be meaningful. 展开更多
关键词 Game Theory logic Optimization New Energy Subsidy System China.
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Novel backstepping design for blended aero and reaction-jet missile autopilot 被引量:7
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作者 Liu Zhong Jia Xiaohong 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2008年第1期148-153,共6页
The advanced missile uses blended control of nero-fin and reaction-jet to improve missile maneuverability. The blended control design, which is multi-inputs and multi-outputs (MIMO), severe nonlinear, and model unce... The advanced missile uses blended control of nero-fin and reaction-jet to improve missile maneuverability. The blended control design, which is multi-inputs and multi-outputs (MIMO), severe nonlinear, and model uncertain, is much more complex than conventional nero-fin control. A novel nonlinear backstepping control approach is proposed to design the blended autopilot. Missile model is reformed to a new one by state reconstruction technique so that it is easy to be handled by the backstepping method. Then a Lyapunov function is chosen to avoid oscillation caused in normal backstepping way when control parameters are mismatched. In distribution of both inputs, optimal energy logic is proposed. In addition, a fuzzy cerebellar model articulation controller (FCMAC) neural network is used to guarantee controller robustness to uncertainties. Finally, simulation results demonstrate the efficiency and advantages of the proposed method. 展开更多
关键词 missile control blended aero-fin and reaction-jet control nonlinear backstepping optimal enery logic.
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Advanced in power control for distributed generation system using cooperative algorithms
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作者 王爱华 狄建雄 陈耀斌 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2008年第6期878-883,共6页
To develop efficient power control strategies for a distributed generation system in order to improve the overall system efficiency, we propose a cooperative algorithm to analyze and design the controller, in which el... To develop efficient power control strategies for a distributed generation system in order to improve the overall system efficiency, we propose a cooperative algorithm to analyze and design the controller, in which elements of conventional mathematical optimization algorithms are combined with adaptive dynamic elements drawn from intelligent control theory. In our design, the sequential quadratic programming algorithm was first utilized to obtain an optimal solution for power distribution among multiple units. Fuzzy system was then developed to implement the optimal strategies on the basis of optimal solution. In addition, parameters of the fuzzy system were adapted via a genetic algorithm. Tbe simulation results illustrate that the methodology described is useful for a range of control system designs. 展开更多
关键词 distributed generation power control optimization fuzzy logic genetic algorithm
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A Study of Optimization and Rule/Goal Graph for a Logical Query
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作者 李天柱 《Journal of Computer Science & Technology》 SCIE EI CSCD 1992年第4期356-362,共7页
Static optimization of logical queries is, in substance, to move selections down as far as possible in evaluating logical queries. This paper extends Ullman's RGG (Rule/Goal Graph) and introduces P- graph, with wh... Static optimization of logical queries is, in substance, to move selections down as far as possible in evaluating logical queries. This paper extends Ullman's RGG (Rule/Goal Graph) and introduces P- graph, with which a wide range of recursive logical queries can be statically optimized top-down and evaluated bottom-up, some of which are usually optimized by dynamic approaches. The paper also shows that for some logical queries the complexity of pushing selections down and computing bottom-up is related to the complexity of base relation in the queries. 展开更多
关键词 A Study of Optimization and Rule/Goal Graph for a logical Query RULE GRAPH
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Reed-Muller function optimization techniques with onset table 被引量:2
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作者 Lun-yao WANG Yin-shui XIA +1 位作者 Xie-xiong CHEN A. E. A. ALMAINI 《Journal of Zhejiang University-Science C(Computers and Electronics)》 SCIE EI 2011年第4期288-296,共9页
By mapping a fixed polarity Reed-Muller (RM) expression into an onset table and studying the properties of the onset table,an algorithm is proposed to obtain a compact multi-level single-output mixed-polarity RM funct... By mapping a fixed polarity Reed-Muller (RM) expression into an onset table and studying the properties of the onset table,an algorithm is proposed to obtain a compact multi-level single-output mixed-polarity RM function by searching for and extracting the common variables using the onset table.Furthermore,by employing the multiplexer model,the algorithm is extended to optimize multi-level multi-output mixed-polarity RM forms.The proposed algorithm is implemented in C language and tested using some MCNC benchmarks.Experimental results show that the proposed algorithm can obtain a more compact RM form than that under fixed polarity.Compared with published results,the proposed algorithm makes a significant speed improvement,with a small increase in the number of literals. 展开更多
关键词 logic optimization Reed-Muller functions MULTI-LEVEL Mixed polarity Onset table
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Multi-objective Optimization of Welding Parameters in Submerged Arc Welding of API X65 Steel Plates 被引量:1
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作者 M.A.MORADPOUR S.H.HASHEMI K.KHALILI 《Journal of Iron and Steel Research International》 SCIE EI CAS CSCD 2015年第9期870-878,共9页
Submerged arc welding(SAW)is one of the main welding processes with high deposition rate and high welding quality.This welding method is extensively used in welding large-diameter gas transmission pipelines and high... Submerged arc welding(SAW)is one of the main welding processes with high deposition rate and high welding quality.This welding method is extensively used in welding large-diameter gas transmission pipelines and high-pressure vessels.In welding of such structures,the selection process parameters has great influence on the weld bead geometry and consequently affects the weld quality.Based on Fuzzy logic and NSGA-II(Non-dominated Sorting Genetic Algorithm-II)algorithm,a new approach was proposed for weld bead geometry prediction and for process parameters optimization.First,different welding parameters including welding voltage,current and speed were set to perform SAW under different conditions on API X65 steel plates.Next,the designed Fuzzy model was used for predicting the weld bead geometry and modeling of the process.The obtained mean percentage error of penetration depth,weld bead width and height from the proposed Fuzzy model was 6.06%,6.40% and 5.82%,respectively.The process parameters were then optimized to achieve the desired values of convexity and penetration indexes simultaneously using NSGA-II algorithm.As a result,a set of optimum vectors(each vector contains current,voltage and speed within their selected experimental domains)was presented for desirable values of convexity and penetration indexes in the ranges of(0.106,0.168)and(0.354,0.561)respectively,which was more applicable in real conditions. 展开更多
关键词 submerged arc welding weld bead geometry fuzzy logic multi-objective optimization API X65steel
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