Backstepping control of speed sensorless permanent magnet synchronous motor based on slide model observer

Chen, Caixue; Xie, Yunxiang; Lan, Yong‐Hong

doi:10.1007/s11633-015-0881-2

Cited by 37 publications

(29 citation statements)

References 21 publications

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“…It can be seen that the DBS control method can track the reference rotation speed with smaller stability error, smaller overshoots, and less load torque fluctuations than that of the TBS method. Figures 9 and 10 show actual and estimated speed when the LMI-based disturbance observer and traditional observer scheme [16,18] are applied. It can be seen that the proposed observer can estimate the actual speed accurately, and it is more accurate, more efficient, and more stable than the traditional observer scheme.…”

Section: Numerical Simulation and Experimental Resultsmentioning

confidence: 99%

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Disturbance Observer-Based Backstepping Control of PMSM for the Mine Traction Electric Locomotive

Yan

Wang

Huang

et al. 2018

Mathematical Problems in Engineering

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For the Permanent Magnet Synchronous Motor (PMSM) control system of the Mine Traction Electric Locomotive (MTEL), the fluctuation of the load will lead to the resonance of the velocity of the MTEL. In addition, the speed sensor is easy to be damaged due to the moisture, dust, and vibration. To solve the above problems, a disturbance observer-based (DOB) backstepping control of PMSM for the MTEL is proposed in this paper. First, a full-dimensional Luenberger observer for PMSM is designed and the asymptotically stability of the observer is proved. Next, through the designing of the virtual control input that includes the reconstruction disturbances and using backstepping control strategy, the DOB controller is proposed. The obtained controller can achieve high precision speed tracking and disturbance rejection. Finally, the effectiveness and feasibility of the designed system are verified by Matlab simulation and experiment results.

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Section: Numerical Simulation and Experimental Resultsmentioning

confidence: 99%

“…In [17], the load factor of friction was considered and the sliding-mode variable structure controller was designed. Using nonlinear disturbance observer to approximate system uncertainty, a disturbance observerbackstepping control was proposed in [18]. However, the observer and controller are designed separately.…”

Section: Introductionmentioning

confidence: 99%

Disturbance Observer-Based Backstepping Control of PMSM for the Mine Traction Electric Locomotive

Yan

Wang

Huang

et al. 2018

Mathematical Problems in Engineering

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“…Δθ  Through this approximation, (3) in discrete form can be written as (4). n and n+1 represent the value at the current sampling time and the state variable at the next sampling period, respectively.…”

Section: Sensorless Methods Based On Back-emf Detectionmentioning

confidence: 99%

“…The back-EMF detectionbased scheme estimates the rotor position by manipulating the errors between stator currents in the controller and those from a motor model. Basically, this method employs the discrete current values from motor state equations and sometimes applies complex observer schemes [3], [4]. The precision of the estimated position is highly affected especially at low-speed operation by the accuracy in motor parameters and nonlinearity in inverter output voltage such as dead-time effect [5].…”

Section: Introductionmentioning

confidence: 99%

Sensorless Scheme for Interior Permanent Magnet Synchronous Motors with a Wide Speed Control Range

Hong¹,

Lee²,

Lee³

2016

Journal of Power Electronics

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Permanent magnet synchronous motors (PMSMs) have higher torque and superior output power per volume than other types of AC motors. They are commonly used for applications that require a large output power and a wide range of speed. For precise control of PMSMs, knowing the accurate position of the rotor is essential, and normally position sensors such as a resolver or an encoder are employed. On the other hand, the position sensors make the driving system expensive and unstable if the attached sensor malfunctions. Therefore, sensorless algorithms are widely researched nowadays, to reduce the cost and cope with sensor failure. This paper proposes a sensorless algorithm that can be applied to a wide range of speed. The proposed method features a robust operation at low-speed as well as high-speed ranges by employing a gain adjustment scheme and intermittent voltage pulse injection method. In the proposed scheme the position estimation gain is tuned by a closed loop manner to have stable operation in tough driving environment. The proposed algorithm is fully verified by various experiments done with a 1 kW outer rotor-type PMSM.

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“…In some cases, the sensors are environment-sensitive, reducing control reliability and adaptiveness. To solve these shortcomings, various back-EMF-based (back electromotive force based) sensorless control techniques are designed and applied, such as the extended Kalman filter (EKF) approaches [1][2][3] or the sliding mode observer (SMO) approaches [4][5][6][7]. The EKF involves a lot of recursive computations because it consists of prediction and innovation.…”

Section: Introductionmentioning

confidence: 99%

Realization of the Sensorless Permanent Magnet Synchronous Motor Drive Control System with an Intelligent Controller

Hoai

Chen

Than³

2020

Electronics

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This paper presents the sensorless control algorithm for a permanent magnet synchronous motor (PMSM) drive system with the estimator and the intelligent controller. The estimator is constructed on the novel sliding mode observer (SMO) in combination with a phase-locked loop (PLL) to estimate the position and speed of the rotor. The intelligent controller is a radial basis function neural network (RBFNN)-based self-tuning PID (Proportional-Integral-Derivative) controller, applied to the velocity control loop of the PMSM drive control system to adapt strongly to dynamic characteristics during the operation with an external load. The I-f startup strategy is adopted to accelerate the motor from standstill, then switches to the sensorless mode smoothly. The control algorithm program is based on MATLAB and can be executed in simulations and experiments. The control system performance is verified on an experimental platform with various speeds and the dynamic load, in which the specified I-f startup mode and sensorless mode, inspected by tracking response and speed regulation. The simulation and experimental results demonstrate that the proposed method has worked successfully. The motor control system has smooth switching, good tracking response, and robustness against disturbance.

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Backstepping control of speed sensorless permanent magnet synchronous motor based on slide model observer

Cited by 37 publications

References 21 publications

Disturbance Observer-Based Backstepping Control of PMSM for the Mine Traction Electric Locomotive

Disturbance Observer-Based Backstepping Control of PMSM for the Mine Traction Electric Locomotive

Sensorless Scheme for Interior Permanent Magnet Synchronous Motors with a Wide Speed Control Range

Realization of the Sensorless Permanent Magnet Synchronous Motor Drive Control System with an Intelligent Controller

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