Robust Fault Detection for Permanent-Magnet Synchronous Motor via Adaptive Sliding-Mode Observer

Zhang, Miaoying; Xiao, Fan; Shao, Rui; Deng, Zhaoqun

doi:10.1155/2020/9360939

Cited by 7 publications

(5 citation statements)

References 18 publications

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“…L d and L q are direct axis and quadrature axis synchronization inductors; ψ f is the magnetic field of the fundamental wave excited by the permanent magnet. The voltage equivalent circuit in the synchronous rotating coordinate system d-q can be obtained [29], as shown in Figure 1. The electromagnetic torque equation and the motion equation under the sync nous rotating coordinate system d-q are: The electromagnetic torque equation and the motion equation under the synchronous rotating coordinate system d-q are:…”

Section: Mathematical Model Of Pmsmmentioning

confidence: 99%

Adaptive Control Method of Sensorless Permanent Magnet Synchronous Motor Based on Super-Twisting Sliding Mode Algorithm

Qiu

et al. 2022

Electronics

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To solve the problem of the sensorless control method of a permanent magnet synchronous motor, based on the study of a mathematical model for a permanent magnet synchronous motor and model adaptation theory, a reference model equation and adjustable model equation are derived according to the stator current equation. The correctness of the selected linear compensator matrix is strictly proved. Then, Popov’s super-stability theory is used to derive the speed adaptive law and prove its asymptotic stability. Based on the voltage closed-loop feedback MTPA weak magnetic control strategy, a simulation model of a MRAS control system based on stator current is built and combined with the principle of MRAS. Aiming to investigate the problem that the PI adaptive law in the traditional MRAS algorithm is not robust, super-twisting sliding mode control is introduced to replace the PI adaptive law. The observer based on STSM−MRAS is designed. The simulation model of the MRAS control system based on the super-twisting sliding mode is established. Under certain working conditions, the STSM−MRAS algorithm and the traditional MRAS algorithm are simulated and compared. The results show that the STSM−MRAS algorithm can improve the steady-state performance and robustness of a sensorless control system.

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Section: Mathematical Model Of Pmsmmentioning

confidence: 99%

Adaptive Control Method of Sensorless Permanent Magnet Synchronous Motor Based on Super-Twisting Sliding Mode Algorithm

Qiu

et al. 2022

Electronics

View full text Add to dashboard Cite

show abstract

“…It mainly includes motor, reducer, controller, etc. 1 , 2 with a working principle that the controller receives the external target position signal, calculates the rotating speed and steering direction of the motor through the internal algorithm of the controller, and then outputs the pulse width modulation (PWM) signal to motor. The motor rotates according to duty cycle and frequency of PWM, and transmits rotating force to the motor output shaft through the reducer.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy PID control of permanent magnet synchronous motor electric steering engine by improved beetle antennae search algorithm

Zhang,

Niu,

Guo

et al. 2024

Sci Rep

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The accuracy of control in permanent magnet synchronous motor system significantly affects overall mechanical structure safety. To satisfy high-performance control for the position servo of the electric steering engine, this study selects a suitable vector control model for permanent magnet synchronous motor. Additionally, an enhanced beetle antennae search algorithm is designed and employed to optimize the fuzzy proportional–integral–derivative controller. The hybrid fuzzy proportional-integral-derivative controller is then implemented in the control model of the permanent magnet synchronous motor, resulting in the establishment of a novel control model for the electric steering engine driven by the permanent magnet synchronous motor. The test results showed that root-mean-square error of this control model was 0.03 mm and 0.02 mm respectively under the conditions of sinusoidal response, square wave response and step response, which was obviously shorter than all the selected control models. In addition, the standard deviation of the control model designed in this study accounted for less than 4% of root-mean-square error of electric steering engine position under the sinusoidal response condition, so the calculation stability was high. The research results show that the designed control model has a certain reference value for improving servo control performance of permanent magnet synchronous motor.

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“…In [24], a disturbance observer-based SMC strategy is developed to handle unmatched disturbances effectively. In [25], an adaptive sliding mode control method is proposed to attenuate the inductance disturbance of the PMSM. In order to estimate the unmeasured mechanical parameters of PMSM, a terminal sliding mode observer is proposed in [26], which can estimate the control performance with a finitetime convergence rate.…”

Section: Introductionmentioning

confidence: 99%

Output-Feedback Sliding Mode Control for Permanent Magnet Synchronous Motor Servo System Subject to Unmatched Disturbances

Jiang

Zhang

2021

Mathematical Problems in Engineering

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This paper aims to investigate the speed regulation problem for permanent magnet synchronous motor (PMSM) servo systems subject to unknown load torque disturbances. The proposed method utilizes sliding mode control (SMC), invariant manifold theory, and disturbance observation technique. In the PMSM servo systems, the unknown load torques will affect the control performance to a large extent, which is unmatched. In addition, compared with full-state measurement, the output-feedback framework is easy to implement and reduces the sensor costs. However, it is difficult to handle unmatched disturbance and unmeasured states simultaneously. To this end, this paper specifically combines the sliding mode control theory with the invariant manifold theory and puts forward an output-feedback disturbance rejection control method. The key idea is that the unmatched disturbance in the PMSM servo systems is transformed into matched one by taking advantage of the invariant manifold, which is different from existing results. The transformation maintains most of dynamics of the PMSM system for control design, which improves the accuracy. In addition, an extended state observer is designed to estimate the current and lumped disturbance simultaneously; then, the output-feedback SMC method is proposed by introducing the estimations. Besides, the switching gain in the proposed sliding mode controller can change with estimation errors adaptively, and the chattering reduces. Simulation results on a PMSM system validate the effectiveness of the proposed control strategy.

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Robust Fault Detection for Permanent-Magnet Synchronous Motor via Adaptive Sliding-Mode Observer

Cited by 7 publications

References 18 publications

Adaptive Control Method of Sensorless Permanent Magnet Synchronous Motor Based on Super-Twisting Sliding Mode Algorithm

Adaptive Control Method of Sensorless Permanent Magnet Synchronous Motor Based on Super-Twisting Sliding Mode Algorithm

Fuzzy PID control of permanent magnet synchronous motor electric steering engine by improved beetle antennae search algorithm

Output-Feedback Sliding Mode Control for Permanent Magnet Synchronous Motor Servo System Subject to Unmatched Disturbances

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