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The assisted electric power steering system (AEPS) enhances the driver’s experience, ensures safety, reduces costs, and simplifies repair and maintenance. The EPS system must adjust to the steering wheel speed and torque based on electric power assist characteristics. This chapter presents a control algorithm for the EPS system using a genetic algorithm (GA) to optimize \(K_{p, } K_{i }\) parameters of the PI controller. This optimization parameter increases the torque for the PMSM motor on the steering wheel when electric cars run at different speeds and in road surface conditions. The effectiveness of the proposed control solution is verified by MATLAB simulation. The simulation results show that the optimized control algorithm significantly improves the performance of the AEPS system, providing a smoother and more responsive steering experience for the driver.

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Torque Control of Power-Assisted Steering System (AEPS) Based on GA_PI Controller

  • 会议论文

  • 发表日期：

    2026年

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  • Thanh Ha Vo,
  • Dương Anh Tuan

摘要

The assisted electric power steering system (AEPS) enhances the driver’s experience, ensures safety, reduces costs, and simplifies repair and maintenance. The EPS system must adjust to the steering wheel speed and torque based on electric power assist characteristics. This chapter presents a control algorithm for the EPS system using a genetic algorithm (GA) to optimize \(K_{p, } K_{i }\) parameters of the PI controller. This optimization parameter increases the torque for the PMSM motor on the steering wheel when electric cars run at different speeds and in road surface conditions. The effectiveness of the proposed control solution is verified by MATLAB simulation. The simulation results show that the optimized control algorithm significantly improves the performance of the AEPS system, providing a smoother and more responsive steering experience for the driver.