Compensation of Parameter Uncertainty Using an Adaptive Sliding Mode Control Strategy for an Interior Permanent Magnet Synchronous Motor Drive

Kim, Min Jung; Kim, Jinuk; Choi, Han Ho; Jung, Jin‐Woo

doi:10.1109/access.2019.2892749

Cited by 28 publications

(13 citation statements)

References 29 publications

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“…In fact, motor load occupies a large proportion in power systems [46]. Because the motor load has high requirements on the line impedance imbalance, and the control process is difficult compared with the ordinary load [47], this section uses the motor load as an example to verify the method proposed in this paper. The system parameter settings, load switching time, and load capacity are the same as in the previous section.…”

Section: ) Unbalanced Condition Under Motor Loadmentioning

confidence: 99%

An Adaptive Droop Control Strategy for Islanded Microgrid Based on Improved Particle Swarm Optimization

Zhang

Zheng

Su³

et al. 2020

IEEE Access

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In an islanded microgrid with multiple distributed generations (DGs), the difference in line impedance may cause local voltage deviation, which leads to a series of problems such as lower power allocation accuracy and bus voltage drop under traditional droop control. In this respect, a method for optimizing the droop control using an improved particle swarm optimization (IPSO) is proposed. Firstly, the microgrid structure and influence of line parameters on traditional droop control strategy is analyzed. Then, an improved particle swarm optimization is proposed. Based on the basic particle swarm optimization (PSO) algorithm, a fuzzy inference system (FIS) is introduced to dynamically adjust the particle swarm optimization, which can effectively improve the global search ability and local search ability of the algorithm. After that, the improved algorithm is applied to the droop controller, simultaneously, the range of stable operation of the system is determined by small signal analysis. Finally, the simulation and experiment results show that the proposed improved droop control strategy can achieve accurate allocation of active and reactive power effectively while maintaining bus voltage and system frequency stability, enhance the dynamic performance and transient stability of the microgrid system.

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Section: ) Unbalanced Condition Under Motor Loadmentioning

confidence: 99%

An Adaptive Droop Control Strategy for Islanded Microgrid Based on Improved Particle Swarm Optimization

Zhang

Zheng

Su³

et al. 2020

IEEE Access

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show abstract

“…However, this kind of method is quite time-consuming, which results in a low utilizing rate of hardware resource when the operating conditions change slowly. The second method replaces PI controller with advanced control strategies such as model-free predictive control [13] and adaptive sliding mode control [14]. These methods have improved the control performance in some aspects, faster transient-state response, or better robustness against machine parameter variations, but the superiority comes at the expense of higher current controller complexity.…”

Section: Introductionmentioning

confidence: 99%

A Strongly Robust and Easy-Tuned Current Controller for PMSM Considering Parameters Variation

2020

IEEE Access

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This paper proposes an improved internal-model-control (IMC)-based proportional-integral (PI) current controller for a permanent magnet synchronous motor (PMSM) drive system to solve the parameter dependence problem. The parameter sensitivity of the conventional IMC-based PI controller is analyzed, which indicates that the parameters mismatch would cause oscillation or overshoot. Therefore, this paper utilizes an uncertainty and disturbance estimator to eliminate the impact of the parameters mismatch disturbance caused by the parameters variation. The proposed controller includes an IMC-based PI controller, which is responsible for tracking, and a disturbance estimator, which deals with other control difficulties. The performance and robustness are easily achieved by separately tuning the only two parameters (the desired closed-loop bandwidth and the estimator bandwidth). The frequency-domain characteristic of the proposed current controller indicates that it can effectively suppress the parameters mismatch disturbance. Simulations and experiments have verified the effectiveness of the proposed method.

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“…The commonly used position estimation methods for IPMSM can be divided into to two categories. One category is based on the extended back-electromotive force (Back-EMF), such as the Kalman filter method [1], [2], the model reference adaptive method [3]- [5], the observer method [6]- [9], and the artificial intelligence (AI) based method [10], [11]. Since Back-EMF is small and difficult to be observed when the rotating speed is low, these methods are only effective in the medium speed and high speed range.…”

Section: Introductionmentioning

confidence: 99%

Position Estimation Method of IPMSM in Full Speed Range by Simplified Quadratic Optimization

et al. 2020

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In this paper, a new full-speed-range position estimation method for the interior permanent magnet synchronous machine (IPMSM) is proposed. This method is designed for high power traction motor drives. In such application, variable speed operation from zero to high speed is desired. The objective of this paper is to obtain smooth position estimation in full speed range to guarantee high reliability of the motor control system. Firstly, a quadratic cost function based on the stator voltage equations is constructed. The rotor position in the full speed range is obtained by numerically solving an optimization problem. After obtaining the rotor position, the motor speed is then obtained through a phase-locked loop observer. In such a way, only one variable in the optimization problem has to be solved. Therefore, the numeric calculation burden is greatly reduced. The convexity of the quadratic cost function considering sampling noise as well as parameter mismatch is discussed in detail. Thus, the solvability and accuracy of the estimation result is guaranteed. At last, experiments on a traction motor are conducted to verify the effectiveness of the proposed position estimation method. INDEX TERMS IPMSM, Position sensorless control, Newton method, Full speed range.

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Compensation of Parameter Uncertainty Using an Adaptive Sliding Mode Control Strategy for an Interior Permanent Magnet Synchronous Motor Drive

Cited by 28 publications

References 29 publications

An Adaptive Droop Control Strategy for Islanded Microgrid Based on Improved Particle Swarm Optimization

An Adaptive Droop Control Strategy for Islanded Microgrid Based on Improved Particle Swarm Optimization

A Strongly Robust and Easy-Tuned Current Controller for PMSM Considering Parameters Variation

Position Estimation Method of IPMSM in Full Speed Range by Simplified Quadratic Optimization

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