Study On Analytic Fuzzy Control System Of Brushless Direct Current Motor Based On DSP For Electric Vehicle

Under the environment o f dealing wit h the problems of energy crisis and climate change, pro mot ion o f electric vehilce has become an important measure to achi eve the goal of energy conservat ion and emission reduct ion all around the world. As a pillar industry o f the manufacturing, auto industry has ushered in the o ld and the new kinet ic energy conversio n period. As the new kinet ic o f the development of auto industry, pure electric vehicle will usher in a new round o f ferment. The Chinese goverment has vigorously suppo rted the development o f new energy vehicles, and electric vehicle co mpanies also has enhanced investment in new techno logy and the constrct ion o f the charging infrastrcture under a series o f posit ive policy st imulus. As the main power source of the electric vehicle, the output torque of the motor will direct ly affect its dynamic performance, so it is necessary to study the contro l system of the motor.Analyt ic fuzzy control system o f brushless direct current motor for electric vehicle is studied in the paper and the paper is supported by Hunan Provincial Science & Techno logy Depart ment o f China(Project 2013GK2005). The main research work and innovat ions are as fo llows:(1) In MATLAB, the model o f brushless direct current motor(BLDCM) is established by C MEX S-function based on the operat ing principle o f the brushless direct current motor. The simulat ion results demonstrate that the model can improve simulat ion efficiency, which lays a good foundat ion for the optimizat ion of the contro l system o f the BLDCM by co mplex algorithms.(2) A modificat ion funct ion is introduced and an analyt ic fuzzy contro ller wit h the modificat ion funct ion is built. The simulatio n results demonstrate that the analyt ic fuzzy controller has a good control effect for different simulat ion objects. The analyt ic fuzzy contro ller is then applied to the simulat ion model of the BLDCM and quantum genet ic algorithm is adopted to opt imize the parameters o f the fuzzy controller. The results show that the proposed analyt ic fuzzy contro ller is better than the conventional PI contro ller.(3) The design of contro l circuit and drive circuit is co mpleted and the hardware plat form o f the contro l system is established based on the main contro l chip TMS320F2812 and the main drive chip IR2233 S. The software design is co mpleted by CCS3.3 based on the designed hardware circuit and the upper co mputer is set up by Lab VIEW.(4) Hardware in the loop simulat ion plat form is built and both the software and the hardware are tested. A co mparison between a kind o f analyt ic fuzzy contro ller and PI controller is made and the debugging results show that the fuzzy contro ller possesses the characterist ics o f fast reponse speed, less overshoot, and smaller steady-state error.