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

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.