Improving stability and adaptability of automotive electric steering systems based on a novel optimal integrated algorithm

Abstract

Purpose

Design a novel optimal integrated control algorithm for the automotive electric steering system to improve the stability and adaptation of the system.

Design/methodology/approach

Simulation and calculation.

Findings

The output signals follow the reference signal with high accuracy.

Originality/value

The optimal integrated algorithm is established based on the combination of PID and SMC. The parameters of the PID controller are adjusted using a fuzzy algorithm. The optimal range of adjustment values is determined using a genetic algorithm.