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Model Reference Adaptive Control for DC motor based on Simulink

机译:基于Simulink的直流电动机模型参考自适应控制

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Sometimes the conventional feedback control can not work well to cope with the changes that vary in its dynamic system. The parameters of the dynamic system that changes with time lead to a conventional feedback control system is not able to maintain control. This is caused by circumstances which are nonlinear and receive many disturbance so that the transient response of the system to be less precise and accurate to the desired steady state conditions. To overcome these problems, this paper presents an adaptive control system which can cope with the change of the dynamic DC motor system. The adaptive control system used is Model Reference Adaptive Control (MRAC) which contain four part. They are reference model, adaptation mechanism, plant, and control law. We designs DC motor plant by using Simscape in Simulink. An ideal response for reference model is designed by modeling the dynamic DC motor. Design of an adaptation mechanism with MIT rule and control law with Proportional Integral Derivative (PID) controller are present. It can affect the response of adaptive control system and matching the desired ideal response from reference model even when the system receives a disturbance.
机译:有时,传统的反馈控制无法很好地应对其动态系统中的变化。动态系统的参数随时间变化导致传统的反馈控制系统无法维持控制。这是由非线性的环境引起的,并且受到许多干扰,因此系统的瞬态响应对于所需的稳态条件不太精确。为了克服这些问题,本文提出了一种自适应控制系统,该系统可以应对动态直流电动机系统的变化。所使用的自适应控制系统是模型参考自适应控制(MRAC),它包含四个部分。它们是参考模型,适应机制,工厂和控制法则。我们通过使用Simulink中的Simscape设计直流电动机工厂。参考模型的理想响应是通过对动态直流电动机建模来设计的。提出了一种具有MIT规则和控制律以及比例积分微分(PID)控制器的自适应机制的设计。即使系统受到干扰,它也会影响自适应控制系统的响应并匹配参考模型的理想理想响应。

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