PWM Control of a Magnetic Suspension System

Hurley, W.G.; Hynes, Marshall; Wölfle, W.H.

doi:10.1109/te.2004.827831

Cited by 60 publications

(27 citation statements)

References 6 publications

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“…To obtain a stable controller of EMS Maglev system, many control methods such as PID control, state feedback, optimal control, robust control, feedback linearization have been introduced. However, some control methods show the poor performance of suspension control [6][7][8][9][10].…”

Section: 서 론mentioning

confidence: 99%

Design of TLBO-based Optimal Fuzzy PID Controller for Magnetic Levitation System

Cho¹,

Kim²

2017

The Transactions of The Korean Institute of Electrical Engineer

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-This paper proposes an optimum design method using Teaching-Learning-based optimization for the fuzzy PID controller of Magnetic levitation rail-guided vehicle. Since an attraction-type levitation system is intrinsically unstable, it is difficult to completely satisfy the desired performance through the conventional control methods. In the paper, a fuzzy PID controller with fixed parameters is applied and then the optimum parameters of fuzzy PID controller are selected by Teaching-Learning optimization. For the fitness function of Teaching-Learning optimization, the performance index of PID controller is used. To verify the performances of the proposed method, we use a Maglev model and compare the proposed method with the performance of PID controller. The simulation results show that the proposed method is more effective than conventional PID controller. On the other hand, due to the existence of nonlinearity, it is usually difficult to conduct theoretical analysis to explain why fuzzy PID can achieve better performance. From the theoretical and practical points of view, it is important to explore the essential nonlinear control properties of fuzzy PID and find out appropriate design methods which will assist the control engineers to confidently utilize the nonlinearity of the fuzzy PID controllers to improve the closed-loop performance.There are many design factors determining its structure in a fuzzy logic controller such as membership functions, input space partition of fuzzy rules, various types of fuzzy inference mechanisms, defuzzification schemes, etc. They may appear either highly nonlinear or approximately linear. Nevertheless, to perform proportional, integral and derivative control modes,

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Section: 서 론mentioning

confidence: 99%

Design of TLBO-based Optimal Fuzzy PID Controller for Magnetic Levitation System

Cho¹,

Kim²

2017

The Transactions of The Korean Institute of Electrical Engineer

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“…The magnetic force F can be described as [2], [4] F yOAN2 i2 4 a2- To diminish time delay of the current caused by the inductance of the coil, we adopt the current loop cascade control [2], [5], [6], [10]. So the relationship among u, i and s can be described In Fig.…”

Section: System Modelingmentioning

confidence: 99%

“…The electromagnetic levitation system (EMS) is a complex, nonlinear system [9], [10], and because the stability of the levitation control directly affects the safety and the ride comfort of the vehicle, various kinds of control algorithm have been studied in levitation controlling [3]. However, the PID controller, which is generally considered to be a simple and effective method, still plays an important role [4], [8], [10].…”

Section: Introductionmentioning

confidence: 99%

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Analysis of the Low-Frequency Vibration of EMS Maglev Vehicles

Zhou

2007

2007 IEEE International Conference on Control and Automation

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The stability of suspension control of an EMS Maglev vehicle is an important aspect to be concerned when the vehicle is traveling. The PID controller is usually regarded as a simple and effective way in levitation control, but using PID controller, a kind of low-frequency vibration of the electro-magnet sometimes may occur during levitation. This kind of vibration greatly affects the dynamic performance of the levitation and decreases the ride comfort, which needs to be suppressed. To this point, a model of single electro-magnet levitation system using PD controller is established in this paper; and based on this model, several reasons of the vibration, including inappropriate parameters of the controller, improper use of filters, and time delay of signals from sensors, are discussed; at the end of this paper, several ways to reduce or eliminate the vibration are brought forward.Simulations and experiments carried out in a bogie prove the conclusions obtained in this paper.

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“…Power amplifiers are necessary for generating appropriate coil-currents in response to the command signal from the controller in the electromagnetic levitation system (Fig.1). Different kinds of power amplifiers have been proposed for electro-magnetic levitation [3,6,7,8,9,10]. These include magnetic amplifiers (which are now obsolete) as well as the more modern type of solid-state amplifiers.…”

Section: Introductionmentioning

confidence: 99%

Frequency response based dynamic performance analysis of switched mode power amplifiers used in electromagnetic levitation systems

Banerjee

Bhaduri

Biswas⃰³

2010

5th IET International Conference on Power Electronics, Machines and Drives (PEMD 2010)

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PSPICE is a general-purpose analog and digital electronic circuit simulator. It is a powerful program that is used in IC and board-level design to check the integrity of circuit designs and to predict circuit behaviour. The DC electromagnetic levitation system (EMLS) critically deserves very fast response and the DC-DC switch mode power amplifiers used for such applications have important role to meet this demand. The coil current for the magnets used in EMLS needs to be precisely controlled to meet the attractive force demand and this calls for a fast DC to DC power amplifier that can be controlled in a closed loop fashion. The main objective of this paper is to compare the dynamic performances between these different power amplifiers so that an insight can be made about the selection of power amplifier where speed of response and bandwidth is the prime criterion. The effect of different parameters of chopper amplifier (input DC link voltage, duty cycle and switching frequency) and levitation system (resistance and inductance of magnet coil) on the dynamic responses of amplifiers also been observed both by time and frequency response analysis utilizing PSPICE. This will lead to an inference for the design and development of chopper amplifier and DC EMLS. Experimental results to show the difference in dynamic responses between selective power circuits have also been presented.

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PWM Control of a Magnetic Suspension System

Cited by 60 publications

References 6 publications

Design of TLBO-based Optimal Fuzzy PID Controller for Magnetic Levitation System

Design of TLBO-based Optimal Fuzzy PID Controller for Magnetic Levitation System

Analysis of the Low-Frequency Vibration of EMS Maglev Vehicles

Frequency response based dynamic performance analysis of switched mode power amplifiers used in electromagnetic levitation systems

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