Model Free Deadbeat Predictive Speed Control of Surface-Mounted Permanent Magnet Synchronous Motor Drive system

Zhou, Yanan; Li, Hongmei; Zhang, Hengguo; Mao, Jingkui; Huang, Jiandong

doi:10.1007/s42835-018-00022-8

Cited by 38 publications

(50 citation statements)

References 20 publications

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“…F d and F q contain the known and unknown parts of PMSM drive system. The estimation of F d and F q can be obtained by the algebraic parameter identification techniques [5] and given as…”

Section: The Ultra-local Model Of Pmsm Drive Systemmentioning

confidence: 99%

“…This method gets rid of the dependence on the mathematical model of the system and has strong robustness. In [5], the model-free control is successfully applied to a deadbeat predictive current control of a surface mounted permanent magnet synchronous motor (SMPMSM) drive system, which effectively decreases the negative impact of inverter nonlinearity and motor parameter variation on the system performance.…”

Section: Introductionmentioning

confidence: 99%

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Modulated Model-Free Predictive Control With Minimum Switching Losses for PMSM Drive System

Wang

Yang

et al. 2020

IEEE Access

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A modulated model-free predictive control with minimum switching losses (MSL-MMFPC) is proposed to improve the steady-state performance and reduce the switching losses for a permanent magnet synchronous motor (PMSM) drive system. Firstly, two adjacent current vectors are determined based on the predefined first-level cost function, and then, make the current vector at the next control period equal to the reference current vector by modulating the selected current vectors properly. Additionally, in order to keep optimal control performance also in the over-modulation region, a new rotating coordinate frame is used to adjust the optimal voltage vector. Then, the second-level cost function is designed to select the optimal voltage vector sequence, so that the switching of a VSI leg does not happen during the phase-current maximum, which can reduce the switching losses of the inverter. The simulation and experimental results verify the effectiveness of the proposed control method. INDEX TERMS PMSM drive system, modulated model-free predictive control, optimal voltage vector, over-modulation operation, minimum switching losses.

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“…F d and F q contain the known and unknown parts of PMSM drive system. The estimation of F d and F q can be obtained by the algebraic parameter identification techniques [5] and given as…”

Section: The Ultra-local Model Of Pmsm Drive Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modulated Model-Free Predictive Control With Minimum Switching Losses for PMSM Drive System

Wang

Yang

et al. 2020

IEEE Access

Self Cite

View full text Add to dashboard Cite

show abstract

“…In addition, for the proper regulation of torque and flux, additional control techniques are required [9][10][11][12][13]. Model predictive control (MPC) is considered as the second alternative control strategy that requires a predefined cost function to predict output states to obtain state variables and execute control object optimization [14][15][16][17][18][19][20][21]. Another approach to improving DTC is by controlling the duty-ratio of applied voltage vectors (DDTC) [22,23].…”

Section: Introductionmentioning

confidence: 99%

Low-Speed Performance Improvement of Direct Torque Control for Induction Motor Drives Fed by Three-Level NPC Inverter

2020

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Classical direct torque control (DTC) is considered one of the simplest and fastest control algorithms in motor drives. However, it produces high torque and flux ripples due to the implementation of the three-level hysteresis torque regulator (HTR). Although, increasing the level of HTR and utilizing multilevel inverters has a great contribution in torque and flux ripples reduction, stator flux magnitude of induction motor (IM) droops at every switching sector transition, particularly at low-speed operation. This problem occurs due to the utilization of a zero voltage vector, where the domination of stator resistance is very high. A simple flux regulation strategy (SFRS) is applied for low-speed operation for DTC of IM. The proposed DTC-SFRS modifies the output status of the five-level HTR depending on the flux error, torque error, and stator flux position. This method regulates the stator flux for both forward and reverse rotational directions of IM with retaining the basic structure of classical DTC. By using the proposed algorithm, the stator flux is regulated, hence pure sinusoidal current waveform is achieved, which results in lower total harmonics distortion (THD). The effectiveness of the proposed DTC-SFRS is verified through simulation and experimental results.

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“…The method has faster transient performance and smaller pulsation. In [16], aiming at the problem that the parametric uncertainties and inverter nonlinearity in PMSM, a modelfree deadbeat predictive current control (MFDPCC) method is proposed. Compared with conventional PI controller and model-based deadbeat predictive current controller, MFDPCC has stronger robustness.…”

Section: Introductionmentioning

confidence: 99%

Robust Model-Free Nonsingular Terminal Sliding Mode Control for PMSM Demagnetization Fault

et al. 2019

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In this paper, a robust model-free nonsingular terminal sliding-mode control (MFNTSMC) algorithm based on the ultra-local model is proposed to reduce the influence of permanent magnet (PM) demagnetization for PM synchronous motors (PMSMs). First, the PMSM mathematical model in normal and demagnetization is described, and the ultra-local model of speed loop and current loop is constructed based on the input and the output of the PMSM vector control system. Then, the MFNTSMC method is proposed and adopted to design the speed controller and d-q-axis current controller, and the sliding-mode observer is designed to estimate the unknown terms of the ultra-local model. Finally, compared with the PI control method and model-free control method, the results of simulations and experimentations show that the MFNTSMC method can improve the dynamic response while maintaining robustness of PMSM driven system, reduce the dependence of the design of controller on the precise PMSM model, and has fault-tolerant control function for PM demagnetization fault. INDEX TERMS Ultra-local model, permanent magnet synchronous motor (PMSM), demagnetization, model-free nonsingular terminal sliding mode control (MFNTSMC), sliding mode observer (SMO).

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Model Free Deadbeat Predictive Speed Control of Surface-Mounted Permanent Magnet Synchronous Motor Drive system

Cited by 38 publications

References 20 publications

Modulated Model-Free Predictive Control With Minimum Switching Losses for PMSM Drive System

Modulated Model-Free Predictive Control With Minimum Switching Losses for PMSM Drive System

Low-Speed Performance Improvement of Direct Torque Control for Induction Motor Drives Fed by Three-Level NPC Inverter

Robust Model-Free Nonsingular Terminal Sliding Mode Control for PMSM Demagnetization Fault

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