Title :
Optimization of fuzzy system performance using sequential quadratic programming
Author_Institution :
Energy & Electr. Eng. Dept., Nanjing Inst. of Ind. Technol., Nanjing, China
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;
Conference_Titel :
Intelligent Control and Information Processing (ICICIP), 2012 Third International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4577-2144-1
DOI :
10.1109/ICICIP.2012.6391409
