Modeling and Simulation of Brushless DC Motor Adaptive Fuzzy PID Control System for Pure Electric Vehicle

Shu Song; Ya Jun Zhang

doi:10.4028/www.scientific.net/AMR.466-467.1339

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 466-467Modeling and Simulation of Brushless DC Motor...

Modeling and Simulation of Brushless DC Motor Adaptive Fuzzy PID Control System for Pure Electric Vehicle

Abstract:

Pure Electric Vehicles (PEV) is an important research direction to solve the problems of auto environment and energy sources. Research double close-loop control system of PEV driven by Brushless Direct Current Motor (BLDCM) has the practical value. Traditional PID controllers have some advantages of being simple, reliable and effective for linear systems, but not for time-varying systems or highly non-linear systems. In order to improve the performances in both steady state and transient state of control system, an Adaptive Fuzzy PID Controller (AFPIDC) can be employed. The dynamic model of PEV and the mathematic model of BLDCM can be analyzed and established. Simulation model of Speed and Current Double Close-Loop Control System are implemented by Matlab7.0/simulink. The simulation results show that the system has rapid response, without static error and overshoot, good performance and strong robustness, high capacity of resisting disturbance.

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Periodical:

Advanced Materials Research (Volumes 466-467)

Pages:

1339-1343

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.466-467.1339

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Online since:

February 2012

Authors:

Shu Song, Ya Jun Zhang

Keywords:

Adaptive Fuzzy PID Controller (AFPIDC), Brushless Direct Current Motor (BLDCM), Pure Electric Vehicle (PEV), Simulation

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