Sliding-Mode Observer-Based Mechanical Parameter Estimation for Permanent Magnet Synchronous Motor

Zhang, Xiaoguang; Li, Zhengxi

doi:10.1109/tpel.2015.2495183

Cited by 185 publications

(92 citation statements)

References 25 publications

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“…Permanent magnet synchronous motors (PMSMs) have attractive advantages, such as high efficiency, high precision, high torque to inertia ratio, and high power density, gaining widespread acceptance in various applications [1][2]. In conventional motor drive, large electrolytic capacitors are usually installed to maintain constant dc-link voltage, which occupy considerable space and increase the system cost.…”

Section: Introductionmentioning

confidence: 99%

A method to reduce DC-link voltage fluctuation of PMSM drive system with reduced DC-link capacitor

Li¹,

Wáng²,

Wang³

et al. 2016

Proceedings of the 2016 International Conference on Advanced Electronic Science and Technology (AEST 2016)

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Abstract. The reduction of the dc-link capacitance in the motor drive makes it possible to improve the system power density and lower the system cost. However, this can lead to relatively high dc-link voltage fluctuation, especially the sixth harmonic component. To serve the purpose of enhancing the dc-link voltage quality, a parameter-insensitive control method was proposed in this paper. The proposed method shapes the sixth harmonic component of the dc-link current in phase with that of the inductor current by the HF power injection technology. Since this practice can reduce the difference between these two sixth harmonic components, the sixth harmonic component of the dc-link voltage can be reduced as well. The simulation results show that the proposed method not only improves the ripple characteristic of dc-link voltage, but also achieves the aim of PMSM speed regulation.

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Section: Introductionmentioning

confidence: 99%

A method to reduce DC-link voltage fluctuation of PMSM drive system with reduced DC-link capacitor

Li¹,

Wáng²,

Wang³

et al. 2016

Proceedings of the 2016 International Conference on Advanced Electronic Science and Technology (AEST 2016)

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show abstract

“…For example, the inter-turn short circuit can result in an abrupt change in dq-axis inductance and winding resistance [4], the demagnetization can result in a sudden decrease in the amplitude of PM flux linkage [7]. At the same time, the mechanical parameters such as moment of inertia and viscous friction coefficients are critical to the design of dynamic performance speed-loop controllers [11]. Therefore, obtaining accurate values of motor parameters can help improve control performance of the whole PMSM system.…”

mentioning

confidence: 99%

“…Recently, observer-based parameter estimation approaches, including disturbance observer , sliding-mode observer and adaptive observer are attracting widespread interest and employed to estimate the parameters of PMSM due to their simplicity to implement [11], [21]- [24]. For example, a state observer for estimating motor disturbance and mechanical parameters is presented in [22].…”

mentioning

confidence: 99%

“…In [23], an adaptive observer combined with a high-frequency signal injection technique was investigated to estimate the stator resistance and the rotor PM flux linkage in PMSM drives. In [24], a sliding-mode flux observer was used for flux estimation, and another improved sliding-mode observer is proposed for the estimation of the mechanical parameters of PMSM in [11]. Although the observer based methods in [11], [21]- [24] can achieve good performance and are able to estimate the machine parameters accurately, they are not robust enough when dealing with the uncertainties in machine parameters.…”

mentioning

confidence: 99%

“…In [24], a sliding-mode flux observer was used for flux estimation, and another improved sliding-mode observer is proposed for the estimation of the mechanical parameters of PMSM in [11]. Although the observer based methods in [11], [21]- [24] can achieve good performance and are able to estimate the machine parameters accurately, they are not robust enough when dealing with the uncertainties in machine parameters. ANN based iterative computations were also proposed for parameter estimation for PMSM in [25]; it was demonstrated through numerical experiments that such an approach could get stuck in local minima or over fitting if the tuning criteria were improperly conducted [26].…”

mentioning

confidence: 99%

See 2 more Smart Citations

Global Identification of Electrical and Mechanical Parameters in PMSM Drive Based on Dynamic Self-Learning PSO

Liu

Wei

et al. 2018

IEEE Trans. Power Electron.

141

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A global parameter estimation method for a PMSM drive system is proposed, where the electrical parameters, mechanical parameters and voltage-source-inverter (VSI) nonlinearity are regarded as a whole and parameter estimation is formulated as a single parameter optimization model. A dynamic learning estimator is proposed for tracking the electrical parameters, mechanical parameters and VSI of PMSM drive by using dynamic self learning particle swarm optimization (DSLPSO). In DSLPSO, a novel movement modification equation with dynamic exemplar learning strategy is designed to ensure its diversity and achieve a reasonable tradeoff between the exploitation and exploration during the search process.Moreover, a nonlinear multi-scale based interactive learning operator is introduced for accelerating the convergence speed of the Pbest particles; meanwhile a dynamic opposition-based learning (OBL) strategy is designed to facilitate the gBest particle to explore a potentially better region. The proposed algorithm is applied to parameter estimation for a PMSM drive system. The results show that the proposed method has better performance in tracking the variation of electrical parameters, and estimating the immeasurable mechanical parameters and the VSI disturbance voltage simultaneously.

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A Robust Backstepping Sensorless Control for Interior Permanent Magnet Synchronous Motor Using a Super‐Twisting Based Torque Observer

Zhang

Chai

2018

Asian Journal of Control

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In order to achieve high-performance speed regulation for sensorless interior permanent magnet synchronous motors (IPMSMS), a robust backstepping sensorless control is presented in this paper. Firstly, instead of a real mechanical sensor, a robust terminal sliding mode observer is used to provide the rotor position. Then, a new super-twisting algorithm (STA) based observer is designed to obtain estimates of load torque and speed. The proposed observer ensures finite-time convergence, maintains robust to uncertainties, and eliminates the common assumption of constant or piece-wise constant load torque. Finally, a sensorless scheme is designed to realize speed control despite parameter uncertainties, by combining the robust backstepping control with sliding mode actions and the presented sliding mode observers. The stability of the observer and controller are verified by using Lyapunov's second method to determine the design gains. Simulation results show the effectiveness of the proposed approach.

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Sliding-Mode Observer-Based Mechanical Parameter Estimation for Permanent Magnet Synchronous Motor

Cited by 185 publications

References 25 publications

A method to reduce DC-link voltage fluctuation of PMSM drive system with reduced DC-link capacitor

A method to reduce DC-link voltage fluctuation of PMSM drive system with reduced DC-link capacitor

Global Identification of Electrical and Mechanical Parameters in PMSM Drive Based on Dynamic Self-Learning PSO

A Robust Backstepping Sensorless Control for Interior Permanent Magnet Synchronous Motor Using a Super‐Twisting Based Torque Observer

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