Maximum Limit of Superconducting Persistent Current for Superconducting Magnetic Suspension System

Komori, Mochimitsu; Minoda, A.; Nemoto, Kaoru; Asami, K.

doi:10.1109/tmag.2017.2705089

Cited by 3 publications

(7 citation statements)

References 5 publications

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“…Figure 4 shows the simulation block diagram of the linearized system. e dotted box in the figure shows the difference between the two linearized results (7) (25)…”

Section: Verification Of Linearized Equationsmentioning

confidence: 99%

“…Figure 5 shows the simulation results of the step response. e short line in the figure is the simulation result of system (7), and the dotted line is the simulation result of system (21) of this method.…”

Section: Verification Of Linearized Equationsmentioning

confidence: 99%

“…e application of the magnetic levitation technology covers numerous fields, such as high-speed magnetic bearing [3,4], high-speed levitation train [5][6][7], and wind tunnel magnetic levitation [8]. erefore, the control design for the maglev system is particularly important.…”

Section: Introductionmentioning

confidence: 99%

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Linearization Method of Nonlinear Magnetic Levitation System

Wang

Meng

2020

Mathematical Problems in Engineering

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Linearized model of the system is often used in control design. It is generally believed that we can obtain the linearized model as long as the Taylor expansion method is used for the nonlinear model. This paper points out that the Taylor expansion method is only applicable to the linearization of the original nonlinear function. If the Taylor expansion is used for the derived nonlinear equation, wrong results are often obtained. Taking the linearization model of the maglev system as an example, it is shown that the linearization should be carried out with the process of equation derivation. The model is verified by nonlinear system simulation in Simulink. The method in this paper is helpful to write the linearized equation of the control system correctly.

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“…Figure 4 shows the simulation block diagram of the linearized system. e dotted box in the figure shows the difference between the two linearized results (7) (25)…”

Section: Verification Of Linearized Equationsmentioning

confidence: 99%

Section: Verification Of Linearized Equationsmentioning

confidence: 99%

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Linearization Method of Nonlinear Magnetic Levitation System

Wang

Meng

2020

Mathematical Problems in Engineering

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“…The results of the proposed controller were compared to PID controller and showed stability and performance improvements. In [16], a suction-type su-personic wind tunnel magnetic suspension system was investigated. A proportional-integral (PI) controller alo-ng with a double-phase advancer was used to increase the response speed of the system.…”

Section: Introductionmentioning

confidence: 99%

“…The results indicated that the system performs well when the appropriate values of frequency and moment of inertia are used. The persistent current of a magnetic system superconducting coil for a suspended object such as an aircraft was studied in [16]. PID controller was used and the statics and dynamics of the suspended object were studied.…”

Section: Introductionmentioning

confidence: 99%

A new analytical control strategy for a magnetic suspension system under initial position dispersions

Al-Bakri¹,

Ali²,

Salwan³

2021

FME Transactions

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A nonlinear magnetic suspension system is considered in this paper. A novel online algorithm based on analytical approach is presented to stabilize the suspended mass. The new algorithm employs a single analytical function to create the ball position and velocity profiles. The reference ball position is described by a series of time dependent exponential functions. Boundary conditions at both initial and final states are automatically satisfied. Moreover, feasible ball position and velocity profiles are ensured by evaluating one algorithm parameter (an exponential factor). The exponential factor is analytically computed by minimizing the peak of electrical power. This new algorithm is capable of generating the well-suited coil voltage that guarantees the stability of the system with a small closed-loop command. Gain Shechting method is used to obtain the closed-loop effort in order to track the analytical reference profiles. Compared to the prior magnetic suspension algorithms, the proposed analytical scheme is qualified to handle very large dispersions in initial ball position while satisfying the ball position and coil voltage constraints. Monte-Carlo simulations with change in initial ball position are presented. The simulation results demonstrated the great reliable performance of the proposed algorithm despite the wide range of initial ball position dispersions.

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