Robust Speed Control for Permanent Magnet Synchronous Motors Using a Generalized Predictive Controller With a High-Order Terminal Sliding-Mode Observer

Shao, Meng; Deng, Yongting; Li, Hongwen; Liu, Jing; Fei, Qiang

doi:10.1109/access.2019.2937535

Cited by 32 publications

(23 citation statements)

References 35 publications

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“…The parameters at (k + 1) th sampling instant are already obtained in Section II.B. Following the similar procedures from ( 14) to (20), the parameter estimation can be conducted once again for (k + 2) th sampling instant for each of eight combinations of voltage vectors. Eight combinations of voltage vectors can deduce eight groups of parameters at (k + 2) th sampling instant, and each group consists of the following parameters: the stator currents i k+2 d_V Ci and i k+2 q_V Ci , stator fluxes ϕ k+2 d_V Ci and ϕ k+2 q_V Ci , the electromagnetic torque T k+2 V Ci and the rotor speed ω k+2…”

Section: B Multipart Figures System Status Prediction At K + 2 Th Sampling Instantmentioning

confidence: 99%

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Dual Cost Function Model Predictive Direct Speed Control With Duty Ratio Optimization for PMSM Drives

Liu

Chan

et al. 2020

IEEE Access

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Traditional speed control of permanent magnet synchronous motors (PMSMs) includes a cascaded speed loop with proportional-integral (PI) regulators. The output of this outer speed loop, i.e. electromagnetic torque reference, is in turn fed to either the inner current controller or the direct torque controller. This cascaded control structure leads to relatively slow dynamic response, and more importantly, larger speed ripples. This paper presents a new dual cost function model predictive direct speed control (DCF-MPDSC) with duty ratio optimization for PMSM drives. By employing accurate system status prediction, optimized duty ratios between one zero voltage vector and one active voltage vector are firstly deduced based on the deadbeat criterion. Then, two separate cost functions are formulated sequentially to refine the combinations of voltage vectors, which provide two-degree-of-freedom control capability. Specifically, the first cost function results in better dynamic response, while the second one contributes to speed ripple reduction and steady-state offset elimination. The proposed control strategy has been validated by both Simulink simulation and hardware-in-the-loop (HIL) experiment. Compared to existing control methods, the proposed DCF-MPDSC can reach the speed reference rapidly with very small speed ripple and offset.INDEX TERMS Model predictive control, direct speed control, hardware-in-the-loop, permanent magnet synchronous machine.

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Section: B Multipart Figures System Status Prediction At K + 2 Th Sampling Instantmentioning

confidence: 99%

“…Most existing MPC methods consist of a cascaded speedto-torque loop [15]- [17] or speed-to-current loop [18]- [20], where a proportional-integral (PI) is usually included as a linear adapter. However, as PMSM system is a typical nonlinear system, MPC with PI controllers may result in a compromised control performance.…”

Section: Introductionmentioning

confidence: 99%

Dual Cost Function Model Predictive Direct Speed Control With Duty Ratio Optimization for PMSM Drives

Liu

Chan

et al. 2020

IEEE Access

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“…The load torque value T l , is usually obtained as a main disturbance by online observations. Mechanical parameter mismatches and unknown disturbance lead to speed prediction errors [20]. An extended Luenberger observer has been adopted to estimate the torque and speed in [17].…”

Section: Introductionmentioning

confidence: 99%

Robust cascade‐free predictive speed control for PMSM drives based on Extended State Observer

2021

IET Electric Power Applications

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The direct predictive speed controller (DPSC) deals with the prediction of the motor speed based on precise mechanical parameters. However, the mechanical parameters are dependent on the practical applications and may not match with their actual values, which leads to inaccurate prediction of the motor behaviour and deteriorates the performance of the predictive algorithm. A three‐order Extended State Observer is designed for a permanent magnet synchronous motor to observe the unknown overall disturbance of the system and compensate the speed prediction error, which reduces the usage of the mechanical constants and improves the robustness of the system against parameter uncertainties, accurate mechanical parameters become unessential. To improve the current dynamics, by using proper weighting of the position angle observation error, along with the overall disturbance, a new current controller is incorporated in the control law of developed PSC strategy. The proposed strategy is evaluated through experimental results with a two‐level voltage source inverter. Finally, the proposed work is experimentally compared with a predictive speed control, by considering several performance indices.

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“…Nonlinear control [5][6][7][8], adaptive control [9,10] and robust control [11,12], compared to other methods have been more popular due to their efficient performance. Of course, some other control methods are also worth mentioning such as sliding-mode control (SMC) [6,[13][14][15], neurofuzzy control (NFC) [16][17][18], and generalized predictive and sliding-mode control (GPSMC) [19,20].…”

Section: Introductionmentioning

confidence: 99%

“…To accurately control the speed of PMSMs in regard to structured and unstructured uncertainties, robust controllers are employed to compensate the negative effects of the perturbations. It is to be noted that the robust controllers should be able to control PMSMs at acceptable levels with minimum errors despite mentioned troubles and it is also essential to achieve strong robust performance and fast response for PMSMs [20].…”

Section: Introductionmentioning

confidence: 99%

Robust speed controller design for permanent magnet synchronous motor based on gain-scheduled control method via LMI approach

et al. 2020

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In recent years, permanent magnet synchronous motors (PMSMs) have received more attention in industries due to their higher efficiency in comparison to induction motors. Moreover, they play a growingly important role in applications where variable speeds are necessary. This paper is concerned with the speed control of PMSMs, and the controller design procedure is developed in two steps. Firstly, a novel robust controller is designed via linear matrix inequalities (LMIs) approach in order to guarantee the robustness of the speed control under the load variation and uncertainty. The design of the main LMI, uncertainty, and disturbance elimination LMI involves several steps which are presented in the paper. For comparison, classic state feedback controller and proportional-integral-derivative controller with parameters optimized by genetic algorithm are implemented in different scenarios. Secondly, a gain-scheduled controller is designed and simulated. The controller design conditions are derived in terms of LMIs, which can be solved via convex optimization in MATLAB using YALMIP toolbox. It is observed that instead of using one robust controller for all operating points, several ones can be used, and by measuring the speed feedbacks, the control system opt for the appropriate controller. The suggested gain-scheduled control method via LMI approach gives excellent performance over the complete operational range, and the results validate the robustness and effectiveness of the proposed method.

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Robust Speed Control for Permanent Magnet Synchronous Motors Using a Generalized Predictive Controller With a High-Order Terminal Sliding-Mode Observer

Cited by 32 publications

References 35 publications

Dual Cost Function Model Predictive Direct Speed Control With Duty Ratio Optimization for PMSM Drives

Dual Cost Function Model Predictive Direct Speed Control With Duty Ratio Optimization for PMSM Drives

Robust cascade‐free predictive speed control for PMSM drives based on Extended State Observer

Robust speed controller design for permanent magnet synchronous motor based on gain-scheduled control method via LMI approach

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