DocumentCode
582881
Title
Optimization of fuzzy system performance using sequential quadratic programming
Author
Wang, Aihua
Author_Institution
Energy & Electr. Eng. Dept., Nanjing Inst. of Ind. Technol., Nanjing, China
fYear
2012
fDate
15-17 July 2012
Firstpage
259
Lastpage
263
Abstract
In this study, the Sequential Quadratic Programming (SQP) is first used to solve the optimal control problem of maximizing system efficiency, which is a global optimization. And then a fuzzy logic controller is developed to implement the optimal control strategy in terms of further tradeoff between engine and battery in local. In addition, the fuzzy system´s performance to be improved is by optimizing the fuzzy rules based on the SQP results.
Keywords
battery powered vehicles; control system synthesis; fuzzy control; fuzzy set theory; hybrid electric vehicles; internal combustion engines; optimal control; power control; quadratic programming; secondary cells; SQP; battery; engine; fuzzy logic controller; fuzzy rules; fuzzy system performance; global optimization; hybrid electric vehicle; optimal control strategy; sequential quadratic programming; system efficiency; Batteries; Engines; Lead; Optimization; Partial discharges; System-on-a-chip; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Information Processing (ICICIP), 2012 Third International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-4577-2144-1
Type
conf
DOI
10.1109/ICICIP.2012.6391409
Filename
6391409
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