A Smooth Angle Velocity Active Return-to-Centre Control Based on Single Neuron PID Control for Electric Power Steering System

2020 ◽  
Author(s):  
Yangfei Wu ◽  
Bochuan Hou ◽  
Guangfei Zhou ◽  
Jianhua Yang ◽  
Fang Jun ◽  
...  
Keyword(s):  
Electric Power ◽  
Pid Control ◽  
Single Neuron ◽  
Steering System ◽  
Electric Power Steering ◽  
Power Steering System ◽  
Power Steering ◽  
Electric Power Steering System ◽  
Single Neuron Pid ◽  
Active Return

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.

Fast fault-tolerant control of electric power steering systems in the presence of actuator fault

2018 ◽  
Vol 233 (12) ◽  
pp. 3088-3097 ◽  
Author(s):  
Manel Allous ◽  
Kais Mrabet ◽  
Nadia Zanzouri
Keyword(s):  
Electric Power ◽  
Electric Motor ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Steering System ◽  
Adaptive Observer ◽  
Electric Power Steering ◽  
Power Steering System ◽  
Power Steering ◽  
Electric Power Steering System

Electric power steering is an advanced steering system that uses an electric motor to improve steering comfort of the car. As a result, the failures in the electric motor can lead to additional fault modes and cause damage of the electric power steering system performance. Hence, to ensure the stability of this latter, the present paper proposes a new method to reconfigure the fault control. A novelty approach of fast fault estimation based on adaptive observer is also proposed. Moreover, to guarantee optimal and fast control, a fault-tolerant control based on inverse bond graph modeling is designed to construct the behavior of the nominal system. The simulation and the experimental results on a real electric power steering system reveal the importance of the control strategy and show that the proposed approach works as intended.

Sign in / Sign up

Export Citation Format

Share Document