基于Legendre正交函数的直流电动机模型预测控制

Amila Dubravić, Anel Hasić
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引用次数: 1

摘要

摘要本文介绍了一种非常常见的执行器——直流电动机的建模与控制。采用基于Legendre正交函数的模型预测控制(MPC)控制器实现对直流电机的控制。由于PID (Proportional-Integral-Derivative,比例积分导数)控制器是一种简单有效的控制器,主要应用于工业领域,因此将上述MPC控制器的性能与PID控制器的性能进行了比较。使用的标准是在处理阶跃输入和阶跃干扰的情况下,响应速度最快,最大超调量为2%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Legendre Orthonormal Functions Based Model Predictive Control of DC Motor
Abstract The paper presents modelling and control of very common actuator, DC motor. The control of the DC motor was implemented with the Model predictive control (MPC) controller based on Legendre orthonormal functions. As PID (Proportional-Integral-Derivative) controller is simple and effective controller, mainly used in industrial applications, above mentioned MPC controller’s performance was compared to the PID controller performance. A criterion used is the fastest response with the maximum of 2% overshoots with step input and step disturbance treated.
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