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A Novel Control Approach: Combination of Self-tuning PID and PSO-Based ESO

机译:一种新颖的控制方法:将自整定PID与基于PSO的ESO相结合

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This study focuses on the steady speed control of brush-less DC motor with load torque disturbance from the cam and spring mechanism. Due to the nonlinearity and complexity of the load torque, the control system proposed in this paper is divided into the inner-loop compensator, which is to feed-forward compensate the disturbance, and the outer-loop controller. The inner-loop compensator uses a nonlinear extended state observer (ESO) to compensate the actual system as a nominal model, and the outer-loop pole assignment self-tuning PID controller is used to stabilize the nonlinear nominal model. Since a set of suitable nonlinear ESO parameters are difficult to get normally, particle swarm optimization (PSO) is employed to optimize the observer. The simulation results with high precision verify the effectiveness of the proposed control system.
机译:本研究着重于无刷直流电动机的稳定速度控制,其中凸轮和弹簧机构会产生负载转矩干扰。由于负载转矩的非线性和复杂性,本文提出的控制系统分为内环补偿器和外环控制器,内环补偿器用于前馈补偿干扰。内环补偿器使用非线性扩展状态观测器(ESO)来补偿实际系统作为标称模型,而外环极点分配自调节PID控制器用于稳定非线性标称模型。由于通常很难获得一组合适的非线性ESO参数,因此采用了粒子群优化(PSO)来优化观察者。高精度仿真结果验证了所提出控制系统的有效性。

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