Direct Predictive Speed Control With a Sliding Manifold Term for PMSM Drives

Gao, Xiaonan; Abdelrahem, Mohamed; Hackl, Christoph M.; Zhang, Zhenbin; Kennel, Ralph

doi:10.1109/jestpe.2019.2923285

Cited by 44 publications

(19 citation statements)

References 28 publications

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“…For the same objective of eliminating the cascaded loop structure while in different way, a new direct predictive speed control (DPSC) method for PMSMs is developed in [111], where two cost functions are presented. The general block diagram is shown in Fig.…”

Section: Cascaded-free Mpdsc For Ac Drivesmentioning

confidence: 99%

Recent Achievements in Model Predictive Control Techniques for Industrial Motor: A Comprehensive State-of-the-Art

Elmorshedy

El-Sousy

et al. 2021

IEEE Access

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His research interests include modeling and control of motor drives, motion-control systems, wind energy systems, digital signal processing-based computer control systems, computational intelligent of power electronics, electric drives and power systems, intelligent control theories including fuzzy logic, neural networks, and wavelets, nonlinear control, optimal control, and robust control. MD. RABIUL ISLAM (Senior Member, IEEE) received the Ph.D. degree in electrical engineering from the

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Section: Cascaded-free Mpdsc For Ac Drivesmentioning

confidence: 99%

Recent Achievements in Model Predictive Control Techniques for Industrial Motor: A Comprehensive State-of-the-Art

Elmorshedy

El-Sousy

et al. 2021

IEEE Access

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“…The different eight switching states of the inverter designated as u 0 − u 7 , and the corresponding voltage vectors in stationary reference frame αβ are listed in Figure 2 and Table 1. Then, Park transformation is provided to convert the stator voltages into rotating frame dq as in [15]. The conventional and proposed Current predictive control of synchronous reluctance motor are presented in the following sections.…”

Section: Finite-set Current Predictive Control Of Synrmmentioning

confidence: 99%

“…MPC has categorized into two groups, Finite set model predictive control (FSMPC), which considered a finite set of switching actions , and continuous set model predictive control (CS-MPC), which needs a modulation phase to produce the switching actions [13]. In specific, FSMPC techniques are very popular and attractive in the power electronics and drive applications due to their easiness of execution and the exceptionally dynamic performance given to the system under control [14][15][16]. FSMPC principles proceed into account the switching states of the inverter instead of using modulator.…”

Section: Introductionmentioning

confidence: 99%

Simplified Sensorless Current Predictive Control of Synchronous Reluctance Motor Using Online Parameter Estimation

et al. 2020

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In this paper, a simplified efficient method for sensorless finite set current predictive control (FSCPC) for synchronous reluctance motor (SynRM) based on extended Kalman filter (EKF) is proposed. The proposed FSCPC is based on reducing the computation burden of the conventional FSCPC by using the commanded reference currents to directly calculate the reference voltage vector (RVV). Therefore, the cost function is calculated for only three times and the necessity to test all possible voltage vectors will be avoided. For sensorless control, EKF is composed to estimate the position and speed of the rotor. Whereas the performance of the proposed FSCPC essentially necessitates the full knowledge of SynRM parameters and provides an insufficient response under the parameter mismatch between the controller and the motor, online parameter estimation based on EKF is combined in the proposed control strategy to estimate all parameters of the machine. Furthermore, for simplicity, the parameters of PI speed controller and initial values of EKF covariance matrices are tuned offline using Particle Swarm Optimization (PSO). To demonstrate the feasibility of the proposed control, it is implemented in MATLAB/Simulink and tested under different operating conditions. Simulation results show high robustness and reliability of the proposed drive.

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“…Owing to nonlinear and strong coupling characteristics of PMSM drive system [4], nonlinear control methods such as fuzzy control [5], sliding mode control [6], active disturbance rejection control [7], model predictive control (MPC) [8][9][10][11][12][13][14][15][16][17][18], and so forth, are proposed to improve the control performance of PMSM drive system in different aspects. Among these methods, MPC is a very a Correspondence to: Hongmei Li.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Integral‐Type Direct Speed Control of SMPMSM Drive System Based on Ultra‐Local Model

Mao

Yang

et al. 2022

IEEJ Transactions Elec Engng

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In order to improve the control performance and robustness of the surface-mounted permanent magnet synchronous motor drive system, the direct speed control is proposed based on the ultra-local model, which is established based on the input and output of the system, and the dynamics and disturbances are estimated by the differential algebra comprehensively. A dynamic variable with adaptive coefficients is defined first, which includes the speed error and armature q-axis current explicitly. The ultra-local model about it is established consequently. Then, a single controller is designed to control speed and current simultaneously under the cascade-free structure. To guarantee the stability of system and obtain the range of adaptive coefficients, the Lyapunov function is designed with speed and current errors. Moreover, the adaptive coefficients are online tuned by adaptive laws to suit operating conditions. At the same time, the current and voltage constraints are also handled to prevent overcurrent and make full use of the power supply. With the proposed method, excellent transient and steady-state performance can be achieved in the context of safe operation. The effectiveness of the proposed method is validated by the experiments, and comparisons with the double closed-loop proportional integral (PI) control verify its technical advantages.

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Direct Predictive Speed Control With a Sliding Manifold Term for PMSM Drives

Cited by 44 publications

References 28 publications

Recent Achievements in Model Predictive Control Techniques for Industrial Motor: A Comprehensive State-of-the-Art

Recent Achievements in Model Predictive Control Techniques for Industrial Motor: A Comprehensive State-of-the-Art

Simplified Sensorless Current Predictive Control of Synchronous Reluctance Motor Using Online Parameter Estimation

Adaptive Integral‐Type Direct Speed Control of SMPMSM Drive System Based on Ultra‐Local Model

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