Modeling and Design of Fuzzy-Neural Network Controller of Electric Power Steering System

2014 ◽  
Vol 596 ◽  
pp. 751-754
Author(s):  
Guo Qing Geng
Keyword(s):  
Electric Power ◽  
Fuzzy Neural Network ◽  
Steering System ◽  
Electric Power Steering ◽  
Power Steering System ◽  
Power Steering ◽  
Neural Network Controller ◽  
Network Controller ◽  
Fuzzy Neural ◽  
Electric Power Steering System

Most Automotbile Electric Power Steering (EPS) controller designs are based on a simplified accurate model,however,EPS controller is affected by many nonlinear friction and damping easily, such as road condition,sensor noises and the lateral wind disturbance.These uncertainties affect the accuracy of assist current, the EPS performance and the driving safety. Aimed at the nonlinear MIMO system of electric power steering system,the mechanism and dynamic characteristic of EPS is analysed,and EPS model is developed. Then the fuzzy-neural network controller is designed and the corresponding simulation is performed.The results show that the proposed EPS control strategy can provide good performance of stability and controllability and can increase the anti-jamming capability of vehicle.

Dual Closed-Loop Electric Power Steering System on the Mixed H2/H∞ Control Strategy

2014 ◽  
Vol 716-717 ◽  
pp. 1582-1586
Author(s):  
Wan Ying Wei ◽  
Jin Ying Chen ◽  
Hong Lian Li
Keyword(s):  
Electric Power ◽  
Real Time ◽  
Pid Control ◽  
Steering System ◽  
Outer Ring ◽  
Real Time Control ◽  
Electric Power Steering ◽  
Power Steering System ◽  
Power Steering ◽  
Electric Power Steering System

Aiming at the request of EPS system for the robust stability and the dynamic characteristic, the dynamics model of an electric power steering system (EPS) is established , the outer ring mixed H2/H∞ control based on genetic algorithm decides the values of the target torque and solves the perturbation problem, the inner ring control with PID control algorithm will never compromise with current real-time control. Simulation results show that the application of mixed H2/H∞ in the outer ring for current decision can make the EPS system stable and realize the ideal control performance, can also obtain the low frequency information from the surface of the road and depress the high frequency interference.With the application of current tracking loop PID control, EPS system has good dynamic characteristics of the target current real-time tracking, so that electric power steering system has better stability and traking performence.

Research on Fuzzy Self-Tuning PID Control in Electric Power Steering System

2011 ◽  
Vol 422 ◽  
pp. 184-187
Author(s):  
Wen Chang Lu ◽  
Qing Lu Zhang ◽  
Chen Long ◽  
Ruo Chen Wang
Keyword(s):  
Electric Power ◽  
Pid Control ◽  
Control Method ◽  
Good Control ◽  
Steering System ◽  
Electric Power Steering ◽  
Power Steering System ◽  
Power Steering ◽  
Electric Power Steering System ◽  
Self Tuning

In order to further improve control accuracy, response speed, and the steady performance of the electric power steering system, this article based on dynamics model of the electric power steering system, designed a new assistance control strategy, advanced a control policy combining fuzzy control with PID control, and established a simulation model of EPS. This paper simulated the fuzzy self-tuning PID controller by Matlab, and compared with conventional PID control. Simulation results showed that the control method improves the system to control speed and performance, has good control performance.

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