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In this paper, the purpose of using genetic algorithms (GA) is to enhance the efficiency of sliding mode control (SMC) for a twin rotor system (TRMS). The proposed control strategy, named SMC-GA, combines the traditional sliding controller with GA. Initially, the SMC controller was designed using Lyapunov theory. Then, GA is employed to optimize the parameters of the SMC, ensuring that the TRMS achieves excellent performance. The simulation results demonstrate that the SMC-GA has ability to effectively track different reference trajectories of TRMS.

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Sliding Mode Control Using Genetic Algorithm for Twin Rotor MIMO System

  • 会议论文

  • 发表日期：

    2025年

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  • Dinh-Hieu Phan,
  • Duy-Minh Nguyen,
  • Van-Truong Nguyen,
  • Van-Anh Nguyen

摘要

In this paper, the purpose of using genetic algorithms (GA) is to enhance the efficiency of sliding mode control (SMC) for a twin rotor system (TRMS). The proposed control strategy, named SMC-GA, combines the traditional sliding controller with GA. Initially, the SMC controller was designed using Lyapunov theory. Then, GA is employed to optimize the parameters of the SMC, ensuring that the TRMS achieves excellent performance. The simulation results demonstrate that the SMC-GA has ability to effectively track different reference trajectories of TRMS.