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Identification and self-tuning control of electro-pneumatic actuator system with control valve

机译:用控制阀的电动动力执行器系统识别与自调谐控制

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In this paper, a mathematical modeling of pneumatic actuator system is developed by using RLS algorithm. An ARX model is chosen for the model structure. In order to cater the time-varying parameter of pneumatic system, a self-tuning controller is implemented based on the pole-assignment controller. An online RLS algorithm update the parameter estimation at every sample interval. The pole-assignment control parameter is then updated accordingly to the changes of the system parameters. Result of the system performance is compared with the conventional PID controller optimized by PSO algorithm. It is observed that the self-tuning controller performed well with almost zero error at steady state condition and overshoot less than 1%.
机译:本文利用RLS算法开发了一种气动执行器系统的数学建模。选择ARX模型为模型结构。为了迎合气动系统的时变参数,基于极点分配控制器实现自调谐控制器。在线RLS算法在每个采样间隔处更新参数估计。然后将极点分配控制参数相应地更新为系统参数的更改。将系统性能的结果与PSO算法优化的传统PID控制器进行了比较。观察到,自调谐控制器在稳态条件下几乎零误差良好,并且过冲小于1%。

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