Improved robust Deadbeat Predictive Current Control for PMSM Using Stator Current and Disturbance Observation
01 May 2019-
TL;DR: An improved robust predictive current control algorithm with observation compensation of current and disturbance and a Luenberger state observer is proposed to observe and compensate the stator current error and parameter disturbances, and improve the conventional deadbeat predictiveCurrent control.
Abstract: An improved robust predictive current control algorithm with observation compensation of current and disturbance is proposed in this paper. Theoretically, the predictive current control with robustness for permanent magnet synchronous motor (PMSM) possesses excellent control performance. However, the problems of discrete sampling delay and time-varying electromagnetic parameters in practical systems seriously degrade the control quality of model-based predictive current controller. A Luenberger state observer is designed to observe and compensate the stator current error and parameter disturbances, and improve the conventional deadbeat predictive current control. The effectiveness of the proposed algorithm has been verified by the simulation result.
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TL;DR: The experimental results prove that the current steady-state control performance of the proposedMPC method is better than the conventional MPC method without increasing the switching frequency.
Abstract: In order to improve the current steady-state control performance of the model predictive control (MPC), a dead-time voltage-vector based MPC method is proposed in this article. First, the effect of the dead-time on MPC is introduced, and the formation process of the dead-time voltage vector existed in MPC is analyzed. Furthermore, the beneficial dead-time voltage vector and nonbeneficial dead-time voltage vector for the current steady-state control performance of MPC is distinguished, and the advantage of the beneficial dead-time voltage vector is analyzed. Then, the MPC method based on dead-time voltage vector is presented, which optimizes the action time of dead-time. Finally, the experimental results prove that the current steady-state control performance of the proposed MPC method is better than the conventional MPC method without increasing the switching frequency.
53 citations
Cites methods from "Improved robust Deadbeat Predictive..."
...methods also have been proposed and researched, such as sliding mode control [4], [5], fuzzy control [6], adaptive control [7], and model predictive control (MPC) [8], [9]....
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01 Dec 2020
TL;DR: In this paper, a modulated voltage control strategy based on the predictive control approach is proposed for a three-phase generation system. And the root-mean-square error is also displayed to show the quality of the system signal.
Abstract: This paper proposes a modulated voltage control strategy based on the predictive control approach. To accomplish this, a direct matrix converter topology is used in combination with a three-phase generation system. Results based on a MATLAB/Simulink simulation environment are discussed and the most relevant characteristics of the proposed modulated predictive control approach are highlighted considering the total harmonic distortion as a performance parameter and complying with the specifications of the standards for uninterruptible power supplies. The root-mean-square error is also displayed to show the quality of the system signal.
3 citations
TL;DR: Three model predictive current control schemes for permanent magnet synchronous motors (PMSM) are studied and the third control scheme obtains better steady-state performance without significantly increasing the computational burden and has dynamic performance comparable to the first and second control schemes.
Abstract: In this paper, three model predictive current control (MPCC) schemes for permanent magnet synchronous motors (PMSM) are studied. The first control scheme is the traditional optimal duty cycle model predictive current control (ODC-MPCC). In this scheme, according to the principle of minimizing the cost function, the optimal voltage vector is selected from the six basic voltage vectors which are optimized simultaneously with the duty, and then, the optimal voltage vector and its duty are applied to the inverter. In order to reduce the computational burden of ODC-MPCC, a second control scheme is proposed. This scheme optimizes the voltage vector control set, reducing the number of candidate voltage vectors from 6 to 2. Finally, according to the principle of minimizing the cost function, the optimal voltage vector is found from the two voltage vectors, and the optimal voltage vector and its duty cycle are applied to the inverter. In addition, in order to further improve the steady-state performance, another vector selection method is introduced. In the combination of voltage vectors, the third control scheme extends the combination of voltage vectors in the second control scheme. The simulation results show that the second control scheme not only reduces the computational burden of the first control scheme but also obtains steady-state performance and dynamic performance equivalent to the first control scheme. The third control scheme obtains better steady-state performance without significantly increasing the computational burden and has dynamic performance comparable to the first and second control schemes.
2 citations
Cites background from "Improved robust Deadbeat Predictive..."
...From the perspective of control objectives, the hot research areas of PMSM FCS-MPC include model predictive torque control (MPTC) [11, 12] and model predictive current control (MPCC) [13]....
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TL;DR: An exhaustive theoretical study reinforced by simulation and experimental results validate the capability, robustness and high performances of the proposed dynamic control strategy for a grid emulator.
1 citations
DOI•
TL;DR: In this article , a robust predictive current control (MPCC) for permanent magnet synchronous motor (PMSM) drive is proposed considering dynamic response influence, which can effectively erase the destructive effect of parameter mismatches and enhance the robustness of the system ultimately.
Abstract: In order to enhance the parameter robustness of model predictive current control (MPCC) for permanent-magnet synchronous motor (PMSM) drive, a novel robust MPCC considering dynamic response influence is proposed in this article. First, the parameter sensitivity effects on dynamic control capability of MPCC are analyzed theoretically. Second, the data acquisition methods of inductance and flux-linkage based on current errors are presented, respectively. Furthermore, the accurate parameters can be calculated by the proposed data acquisition methods and compensated into the predictive model in real time. Finally, an experimental platform is built to verify the effectiveness of the proposed method and the experimental results illustrate that the proposed method can effectively erase the destructive effect of parameter mismatches and enhance the robustness of the system ultimately.