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.
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Nguyen et al. (2024) studied this question.
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