NDLI: A fuzzy variable structure algorithm based on multi-objective satisfaction optimization and its application

Content Provider	IEEE Xplore Digital Library
Author	Liu Hui Jin Wei-dong Peng Yiqiang
Copyright Year	2009
Description	Author affiliation: School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China (Liu Hui; Jin Wei-dong) \|\| School of Transportation and Automotive Engineering, Xihua University, Chengdu 610039, China (Peng Yiqiang)
Abstract	Automotive electronic throttle is typical non-linear system with variable parameters, based on the establishment of engine's electronic throttle nonlinear movement model, combining sliding mode variable structure control and fuzzy logic technology, multi-objective satisfaction optimization algorithm of the fuzzy sliding mode controller is developed. A two-dimension fuzzy scheduling mechanism was designed for boundary width tuning due to the sliding mode plane function and its change rate as a regulator of the fuzzy input, and boundary width as output. The satisfactory functions of overshoot, rise time, setting time and steady-state error of the system response are designed, and the multi-objective satisfaction optimization algorithm was used to optimize the parameter of sliding mode variable structure contro1ler.Simulation results show that the algorithm is effective for electronic throttle contro1, based on the simulation system of the hardware in the loop of Matlab/Simulink and MACS565.
Starting Page	1701
Ending Page	1706
File Size	556126
Page Count	6
File Format	PDF
ISBN	9781424427222
DOI	10.1109/CCDC.2009.5192266
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Regulators Nonlinear control systems Automotive electronics genetic algorithms Sliding mode control Design optimization Fuzzy logic Fuzzy control satisfactory optimization fuzzy varlable structure Electric variables control Mathematical model electronic throttle Fuzzy systems
Content Type	Text
Resource Type	Article

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