Active Magnetic Bearing System Using PID-surface Sliding Mode Control

Su, Te‐Jen; Kuo, Wen-Pin; Giap, Van Nam; Vu, Hong-Quan; Nguyen, Quang Dich

doi:10.1109/cmcsn.2016.31

Cited by 10 publications

(4 citation statements)

References 2 publications

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“…The controller designed by (14) is used to control PMSM position loop described in (4) and (5). If the control parameters are selected according to the constraints of (15), the system state can converge to the sliding surface and ensure global stability of the system.…”

Section: Proof Of Stabilitymentioning

confidence: 99%

“…It is natural to think of the combination of sliding mode variable structure control and PID control. In the design of sliding surface, the integral term was introduced to form a sliding surface which was similar to PID structure in [14]. Two novel methods, integral approach law and PIDlike approach law, were proposed in [15], to control Electro-Hydraulic Actuator (EHA).…”

Section: Introductionmentioning

confidence: 99%

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Position Tracking Control of PMSM Based on Fuzzy PID-Variable Structure Adaptive Control

Pei

Tang

et al. 2018

Mathematical Problems in Engineering

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A novel Fuzzy PID-Variable Structure Adaptive Control is proposed for position tracking of Permanent Magnet Synchronous Motor which will be used in electric extremity exoskeleton robot. This novel control method introduces sliding mode variable structure control on the basis of traditional PID control. The variable structure term is designed according to the sliding mode surface which is designed by system state equation, so it could compensate for the disturbance and uncertainty. Considering the chattering of sliding mode system, the fuzzy inference method is adopted to adjust the parameters of PID adaptively in real time online, which can attenuate chattering and improve control precision and dynamic performance of system correspondingly. In addition, compared with the traditional sliding mode control, this method takes the fuzzy PID control item to replace the equivalent control item of sliding mode variable structure control, which could avoid the control performance reduction resulted from modeling error and parameter error of system. It is proved that this algorithm can converge to the sliding surface and guarantee the stability of system by Lyapunov function. Simulation results show that Fuzzy PID-Variable Structure Adaptive Control enjoys better control precision and dynamic performance compared with traditional control method, and it improves the robustness of system significantly. Finally, the effectiveness and practicability of the algorithm are verified by the method of Rapid Control Prototyping on the semiphysical simulation test bench.

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Section: Proof Of Stabilitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Position Tracking Control of PMSM Based on Fuzzy PID-Variable Structure Adaptive Control

Pei

Tang

et al. 2018

Mathematical Problems in Engineering

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“…25,26 In order to reduce the chattering phenomenon, a PID-SM controller was proposed for AMB system. 27 The parameters of SM controller were optimized online by using the RBF network and adaptive law. 28 Combined the benefits of SM control and neural networks, a new controller was advanced for a five-DOF AMB system.…”

Section: Introductionmentioning

confidence: 99%

Sliding model control of active magnetic bearing rotor system based on state observer

Li,

Ouyang,

et al. 2024

Advances in Mechanical Engineering

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This paper addresses a novel sliding mode control based on state observer for active magnetic bearing rotor system. Firstly, the state-space model of a radial AMB rotor system is established with considering unbalance disturbance and gyro effect for a vertical flywheel energy storage system. Then a sliding mode function and switching surface are constructed based on an observer. Meanwhile, a separation and decoupling strategy based on Finsler’s lemma is proposed. Through this method, the constraint relationship between the controller gain, active magnetic bearing matrices and the Lyapunov variables is eliminated. After that a method for chattering reduction in the sliding-mode controller is raised. Relied on these techniques, new sufficient conditions for the stability of AMB rotor system are given in the framework of linear matrix inequalities. Finally, the effectiveness of the proposed sliding mode controller is validated on the experimental platform of the flywheel energy storage system.

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“…The main problem of the bearingless system is how to design the precision control scheme. Some papers presented the control designs for the magnetic devices such as follows: The control designs for the active magnetic bearing systems were discussed in [1][2][3][4][5]. In this paper, the SSBM control system is presented.…”

Section: Introductionmentioning

confidence: 99%

Robust Sliding Mode Control-Based a Novel Super-Twisting Disturbance Observer and Fixed-Time State Observer for Slotless-Self Bearing Motor System

Nguyen

et al. 2022

IEEE Access

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The disturbance and uncertainty of the motor drive systems are very complicated terms. There is no exception for the slotless-self bearing motor (SSBM), where the perturbations of the bearing motor are mainly came from the outside as the wind affect, from inside as the thermal changing of the coils, and incorrect modeling of the winding processes. First, to delete these inversed terms, this paper proposes a new super-twisting disturbance observer (STDOB) to obtain the desired goal of the robust control design. The proposed disturbance observer was based on the information of measured and estimated states with the aim of softening the cost of the measurement. Second, to estimate the velocities and accelerations of the movements on x  and y  axes, the stability concept of homogeneous function-based was used to design the fixed-time state observers (FTSOBs) for these axes. The state of the rotational operation on   axis was estimated with a fixed-time state observer. Third, to control the positions and rotational speed, a variable boundary layer thickness (VBLT) fixed-time sliding mode control (FTSMC) was designed to force these positions and speed states converge to the desired goals. Finally, the stability of the proposed control algorithm was theoretically verified by using Lyapunov condition and simulation of MATLAB software. The obtained states were acceptably stable with small overshoots, small settling-times, and stable steadystates.INDEX TERMS Slotless-self bearing motor, super-twisting disturbance observer, variable boundary layer thickness, fixed-time sliding mode control.

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Active Magnetic Bearing System Using PID-surface Sliding Mode Control

Cited by 10 publications

References 2 publications

Position Tracking Control of PMSM Based on Fuzzy PID-Variable Structure Adaptive Control

Position Tracking Control of PMSM Based on Fuzzy PID-Variable Structure Adaptive Control

Sliding model control of active magnetic bearing rotor system based on state observer

Robust Sliding Mode Control-Based a Novel Super-Twisting Disturbance Observer and Fixed-Time State Observer for Slotless-Self Bearing Motor System

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