Abstract
Magnetic Levitation System or Maglev system is a modern and future technology that has many advantages and applications. Its characteristic is highly nonlinear, fast dynamics, and unstable, so it is challenging to make a suitable controller. The model of the Maglev system is in nonlinear state-space representation, and then feedback linearization is implemented to obtain the linear model system. Then, the integral state feedback control that tuned by the coefficient diagram method is implemented. The robustness of the controller is determined using the coefficient diagram method. The result of the standard coefficient diagram parameter will be compared with the robustness parameter. The open-loop test simulation showed that the maglev system has a nonlinear characteristic. Among all of the uncertainties, the uncertainty of resistance provides the highest nonlinearity, even by the small value of uncertainty. The examination of the mass, inductance, and resistance uncertainties showed that the robustness parameter is able to handle them and to provide a robust controller.
Highlights
The Maglev System is a modern and future technology that levitates an object using electromagnetic force
The nonlinear control used in the proposed controllers is feedback linearization, while the linear control used is state feedback with integral control
Section three will discuss the methodology of the research, which consists of Maglev system modeling, feedback linearization method, integral control with state feedback, Coefficient Diagram Method, and Ackermann’s Formula
Summary
The Maglev (the short of Magnetic Levitation) System is a modern and future technology that levitates an object using electromagnetic force. It consists of an object from an iron or steel ball, the inductor to generate electromagnet force, a driver to generate a voltage, a controller (Microprocessor or something else), and a sensor to measure the object’s height from the inductor. Ma’arif: Robust Integral State Feedback Using Coefficient Diagram in MLS parameters and its fast dynamic characteristics. The nonlinear control used in the proposed controllers is feedback linearization, while the linear control used is state feedback with integral control Both types of CDM parameters (robust and standard parameter) are used for tuning the controller. Section three will discuss the methodology of the research, which consists of Maglev system modeling, feedback linearization method, integral control with state feedback, Coefficient Diagram Method, and Ackermann’s Formula. Section will consist of conclusions and future work of the research
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