首页> 外文期刊>Journal of circuits, systems and computers >Model Reference Adaptive Control Scheme for Retuning Method-Based Fractional-Order PID Control with Disturbance Rejection Applied to Closed-Loop Control of a Magnetic Levitation System
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Model Reference Adaptive Control Scheme for Retuning Method-Based Fractional-Order PID Control with Disturbance Rejection Applied to Closed-Loop Control of a Magnetic Levitation System

机译:磁悬浮系统闭环控制的基于方法的分数阶PID控制与扰动抑制的模型参考自适应控制方案

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This study demonstrates the utilization of model reference adaptive control (MRAC) for closedl-oop fractional-order PID (FOPID) control of a magnetic levitation (ML) system. Design specifications of ML transportation systems require robust performance in the presence of environmental disturbances. Numerical and experimental results demonstrate that incorporation of MRAC and FOPID control can improve the disturbance rejection control performance of ML systems. The proposed multiloop MRAC-FOPID control structure is composed of two hierarchical loops which are working in conjunction to improve robust control performance of the system in case of disturbances and faults. In this multiloop approach, an inner loop performs a regular closed-loop FOPID control, and the outer loop performs MRAC based on Massachusetts Institute of Technology (MIT) rule. These loops are integrated by means of the input-shaping technique and therefore no modification of any parameter of the existing closed-loop control system is necessary. This property provides a straightforward design solution that allows for independent design of each loop. To implement FOPID control of the ML system, a retuning technique is used which allows transforming an existing PID control loop into an FOPID control loop. This paper presents the simulation and experimental results and discusses possible contributions of multiloop MRAC-FOPID structure to disturbance rejection control of the ML system.
机译:这项研究证明了模型参考自适应控制(MRAC)在磁悬浮(ML)系统的闭环分数阶PID(FOPID)控制中的应用。 ML运输系统的设计规范要求在存在环境干扰的情况下具有强大的性能。数值和实验结果表明,将MRAC和FOPID控制相结合可以提高ML系统的抗干扰控制性能。所提出的多回路MRAC-FOPID控制结构由两个分层回路组成,这两个回路协同工作以在出现干扰和故障的情况下提高系统的鲁棒控制性能。在这种多循环方法中,内部循环执行常规的闭环FOPID控制,而外部循环根据麻省理工学院(MIT)规则执行MRAC。这些回路通过输入整形技术进行集成,因此无需修改现有闭环控制系统的任何参数。此属性提供了一种直接的设计解决方案,允许对每个循环进行独立设计。为了实现ML系统的FOPID控制,使用了一种重新调整技术,该技术允许将现有的PID控制回路转换为FOPID控制回路。本文介绍了仿真和实验结果,并讨论了多回路MRAC-FOPID结构对ML系统的干扰抑制控制的可能贡献。

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