直流电动机位置控制的模糊PID滑模控制器设计

M. Fallahi, S. Azadi
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引用次数: 15

摘要

本文研究了滑模控制方法对直流电动机的控制,因为滑模控制方法对模型不确定性和外部干扰具有鲁棒性,并且能够控制非线性和MIMO系统。在该方法中,利用高控制增益克服不确定性会导致控制律出现抖振现象,从而激发未建模的动力学,可能对被控对象造成危害。不同的方法,如智能方法,被用来减轻这些缺点。为了提高滑模控制器的性能,我们采用了模糊逻辑。为此,我们在控制律中引入PID外环,通过模糊系统在线调节滑动项和PID项的增益,从而避免了抖振,提高了系统对外部负载的响应。给出的仿真结果证实了上述说法,并证明了在这种情况下的性能改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fuzzy PID Sliding Mode Controller Design for the Position Control of a DC Motor
In this paper, sliding mode control method is studied for controlling DC motor because of its robustness against model uncertainties and external disturbances, and also its ability in controlling nonlinear and MIMO systems. In this method, using high control gain to overcome uncertainties lead to occur chattering phenomena in control law which can excite unmodeled dynamics and maybe harm the plant. Different approaches, such as intelligent methods, are used to abate these drawbacks. In order to enhancement the sliding mode controller performance, we have used fuzzy logic. For this purpose, we have used a PID outer loop in the control law then the gains of the sliding term and PID term are tuned on-line by a fuzzy system, so the chattering is avoided and response of the system is improved against external load here. Presented simulation results confirm the above claims and demonstrate the performance improvement in this case.
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