Study on Matching Optimization of EPS Fuzzy Control

Abstract:

In order to resolve matching optimization between EPS and mechanical steering system of vehicle, the difference and rate between operating torque and ideal torque of steering wheel is set as the control target. Fuzzy controller would be adopted to change parameter of PD controller. Through these, real-time assistant voltage is dynamically adjusted and ideal assistant torque is gained; further operating torque of steering wheel, vehicle yaw rate and slip angle as performance indicators, selecting retarding mechanism parameter and PD controller as optimal objects, utilizing genetic algorithm, electric power assistant system (EPS) would be dynamically multi objects optimized; finally utilizing EPS testing system controller is online simulated and verified, test proves that fuzzy PD controller via multi objects optimization could effectively increase vehicles steering portability and stability.

• Periodical: Applied Mechanics and Materials (Volumes 97-98)
• Pages: 730-734
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.97-98.730
• Online since: September 2011
• Authors: Jin Jian Xiao, Si Min Huang, Yun Song Wang
• Keywords: EPS, Fuzzy PD Control, Genetic Algorithm (GA), Multi-Objects Optimization

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