TAILIEUCHUNG - Design a fuzzy controller for a magnetic levitation sysem in the laboratory

It is designed and simulated by using Matlab/Simulink. Then, it is applied to control a real magnetic levitation system in the laboratory. The fuzzy controller makes the system stable with high performances in comparison to that of PI controller. Its fuzzy rules are based on the experience obtained from the simulation and there is no usage of mathematical model of the real magnetic levitation system. | Nguyễn Hoài Nam và Đtg Tạp chí KHOA HỌC & CÔNG NGHỆ 139(09): 201 - 205 DESIGN A FUZZY CONTROLLER FOR A MAGNETIC LEVITATION SYSEM IN THE LABORATORY Nguyen Hoai Nam1*, Cong Thi PhuongThao2 1 College of Techonology – TNU, 2Vietnam College of Coal and Minerals SUMMARY Nowadays, a variety of real systems operate based on the magnetic levitation systems. They include magnetic bearings, high-speed maglev train and magnetic melting systems. There are many methods to control these systems, such as PID controllers as well as nonlinear controller. In this work, we use a fuzzy controller. It is designed and simulated by using Matlab/Simulink. Then, it is applied to control a real magnetic levitation system in the laboratory. The fuzzy controller makes the system stable with high performances in comparison to that of PI controller. Its fuzzy rules are based on the experience obtained from the simulation and there is no usage of mathematical model of the real magnetic levitation system. Key works: Fuzzy controller, magnetic levitation system, PID control, microcontroller INTRODUCTION* Magnetic levitation (maglev) systems [1] are widely used in many areas including frictionless bearings, high-speed trains, vibration isolation of sensitive machinery, levitation of molten metal in induction furnaces, and levitation of metal slabs. These are obviously open-loop unstable and they are described by highly nonlinear differential equations. There are many methods used to control these systems but designed controllers are almost dependent on their mathematic models. GA-Based Fuzzy Reinforcement Learning [2] was proposed to find a neural controller or a fuzzy controller for a magnetic levitation system. An adaptive robust nonlinear controller [3] via backstepping design approach was proposed for position tracking problem of a steel ball levitated by a magnetic system. They used a radial basis function network to approximate the uncertainty of the mathematic model. The other authors .

• Vật lý
• Design a fuzzy controller
• Magnetic levitation sysem in the laboratory
• Magnetic levitation system
• The magnetic levitation systems
• High speed maglev train
• Adaptive controller
• Fuzzy controller
• Synchronous motors
• T S fuzzy model
• Adaptive fuzzy controller
• External disturbances
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• Điều khiển PID
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