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Journal ArticleDOI

Robust predictive current control for IPMSM without rotor flux information based on a discrete-time disturbance observer

Shin-Won Kang1, Jae-Hwan Soh1, Rae-Young Kim1, Kui-Jun Lee, Sang-Il Kim 
01 Dec 2019-Iet Electric Power Applications (The Institution of Engineering and Technology)-Vol. 13, Iss: 12, pp 2079-2089
TL;DR: A novel robust predictive current control that is based on a discrete-time disturbance observer for an interior permanent magnet synchronous motor (IPMSM), does not require rotor flux information and can eliminate a steady-state current and transient state error caused by disturbances of the system.
Abstract: This study proposes a novel robust predictive current control that is based on a discrete-time disturbance observer for an interior permanent magnet synchronous motor (IPMSM), does not require rotor flux information. To confirm the effects of the current control response on a parameter mismatch, the parameter sensitivity for the current prediction of a conventional deadbeat predictive current control (DPCC) is analysed. With the proposed method, disturbances owing to a parameter mismatch, rotor flux term, and unmodelled dynamics are estimated using a Luenberger observer in the discrete-time domain. The estimated disturbances are compensated with the predicted reference voltage model considering a digital delay. The stability of the proposed disturbance observer owing to a parameter mismatch of the stator resistance and d–q inductance is also analysed. The proposed method is robust against the stator resistance and an inductance variation, and an accurate predicted current control can be obtained without an offline or online estimation of the rotor flux. Compared with the conventional DPCC, the proposed method can eliminate a steady-state current and transient state error caused by disturbances of the system. Experimental results are presented to verify the proposed control scheme even with mismatched parameters of the IPMSM.
Citations
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Journal ArticleDOI
TL;DR: The experimental results show that system steady-state robustness is improved with no cost to transient performance and the proposed robust PCC scheme with parallel compensation terms onto the conventional deadbeat predictive current controller can be easily implemented.
Abstract: The predictive current control (PCC) method is based on nominal parameters to predict and control the current of permanent magnet synchronous motors (PMSM). However, there may be mismatches between actual parameters and their nominal values due to material aging, temperature rise, or magnetic saturation. In this paper, the effects of parameter mismatches on system stability and current tracking errors are analyzed theoretically and verified. Furthermore, based on current errors, a robust PCC scheme with parallel compensation terms onto the conventional deadbeat predictive current controller is proposed. Since there is no change introduced into the original controller, the proposed robust PCC method can be easily implemented. Finally, feasibility and validity of the proposed robust PCC scheme against multi-parameter mismatches are confirmed by experiments, in addition, the experimental results show that system steady-state robustness is improved with no cost to transient performance.

23 citations


Cites methods from "Robust predictive current control f..."

  • ...In most studies, this error is used to correct the predicted current in PCC method through either a disturbance observer [22], [25] or prediction error correction [21]....

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Journal ArticleDOI
TL;DR: A novel backstepping-based disturbance compensation control framework is firstly proposed for the discrete-time SPMSM with known system dynamics, and an event-based adaptive neural control scheme is proposed by combining a modified neural disturbance observer.
Abstract: This paper investigates the problem of event-based disturbance compensation control for discrete-time surface-mounted permanent magnet synchronous motor (SPMSM) subject to both mismatched external ...

18 citations

Journal ArticleDOI
Wei Wang1, Zhixiang Lu1, Wei Hua1, Zheng Wang1, Ming Cheng1 
TL;DR: A hybrid dual-mode control (HDMC) is proposed for surface-mounted permanent-magnet synchronous motor drives (PMSMs) that inherits the quick response ability of DBPC and the good steady-state performances of FOC.
Abstract: In order to obtain satisfactory transient and steady-state performances, a hybrid dual-mode control (HDMC) is proposed for surface-mounted permanent-magnet synchronous motor drives (PMSMs), which contains two control modes. The first one is the deadbeat predictive control (DBPC) mode, which is only implemented in the transient procedure. The second one is the field-oriented control (FOC) mode, which is mainly implemented in the steady-state operation. Besides, the FOC mode is also implemented in the transient procedure to eliminate the static current error. In the transient procedure, the FOC mode is activated after one-sampling-period implementation of the DBPC mode in the unsaturation state, and the desired voltage vector calculated in this sampling period is assigned as the initialized values of the proportional-integral current controllers in the FOC mode to avoid the switching chattering. When the voltage-source-inverter comes into the saturation state, the DBPC mode will be reactivated immediately. The proposed HDMC inherits the quick response ability of DBPC and the good steady-state performances of FOC. The effectiveness of the proposed HDMC is verified by the experimental results.

15 citations


Cites result from "Robust predictive current control f..."

  • ...Existing FCS-MPC schemes can be mainly categorized into model predictive torque control (MPTC) [16] and model predictive current control (MPCC) [17]....

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  • ...The control set of FCS-MPC consists of all possible voltage vectors provided by voltage-source-inverters (VSIs), and the computation burden of FCS-MPC depends on the number of voltage vector candidates in the finite control set....

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  • ...In order to inherit the advantages but overcome the drawbacks of FCS-MPC, anotherMPC scheme named as deadbeat predictive control (DBPC) have been proposed, in which the control commands are expected to be achieved in one sampling period [21], [22]....

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  • ...This scheme is usually noted as finite-control-setMPC (FCS-MPC)....

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  • ...On the other hand, no pulsewidth-modulation module is employed in FCS-MPC, and only one basic voltage vector can be implemented by VSI in one sampling period....

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Proceedings ArticleDOI
12 Jun 2020
TL;DR: A sliding-mode observer basing on adaptive super-twisting algorithm (ASTA-SMO) to improve DPCC method, which is testified to have strong robustness and better current tracking performance with the load and motor parameters variations.
Abstract: The deadbeat predictive current control (DPCC) is weakened by the one-step control delay and model parameters mismatch issues in the permanent-magnet synchronous motors (PMSM) drive system. In order to acquire the high dynamic and static performance, this paper proposes a sliding-mode observer basing on adaptive super-twisting algorithm (ASTA-SMO) to improve DPCC method. First, the discrete-time model of PMSM considering the parameters mismatch is derived. Second, the conventional DPCC performance is analyzed when these two issues exist. Meanwhile, the second-order sliding-mode observer based on the super-twisting algorithm (STA-SMO) is constructed. Through the observer, the sampled current in DPCC is replaced by prediction currents to compensate one-step delay, and the estimated parameters disturbances compensate the voltage vector from DPCC. To further improve system dynamic performance and obtain stronger robustness, ASTA-SMO is proposed, which can vary the sliding-mode coefficients of STA-SMO online. Moreover, the switching function adopts hyperbolic tangent function to suppress the chattering. Finally, the proposed scheme is simulated, which is testified to have strong robustness and better current tracking performance with the load and motor parameters variations.

5 citations


Cites background from "Robust predictive current control f..."

  • ...These two issues will reduce the dynamic and steady-state control performance and current tracking accuracy [5]....

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References
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Journal ArticleDOI
TL;DR: The results show that the predictive method controls very effectively the load current and performs very well compared with the classical solutions.
Abstract: This paper presents a predictive current control method and its application to a voltage source inverter. The method uses a discrete-time model of the system to predict the future value of the load current for all possible voltage vectors generated by the inverter. The voltage vector which minimizes a quality function is selected. The quality function used in this work evaluates the current error at the next sampling time. The performance of the proposed predictive control method is compared with hysteresis and pulsewidth modulation control. The results show that the predictive method controls very effectively the load current and performs very well compared with the classical solutions

1,387 citations

Journal ArticleDOI
TL;DR: The paper revisits the operating principle of MPC and identifies three key elements in the MPC strategies, namely the prediction model, the cost function, and the optimization algorithm.
Abstract: Model predictive control (MPC) is a very attractive solution for controlling power electronic converters. The aim of this paper is to present and discuss the latest developments in MPC for power converters and drives, describing the current state of this control strategy and analyzing the new trends and challenges it presents when applied to power electronic systems. The paper revisits the operating principle of MPC and identifies three key elements in the MPC strategies, namely the prediction model, the cost function, and the optimization algorithm. This paper summarizes the most recent research concerning these elements, providing details about the different solutions proposed by the academic and industrial communities.

1,283 citations

Journal ArticleDOI
TL;DR: A review of recently used direct torque and flux control techniques for voltage inverter-fed induction and permanent-magnet synchronous motors and trends in the DTC-SVM techniques based on neuro-fuzzy logic controllers are presented.
Abstract: This paper presents a review of recently used direct torque and flux control (DTC) techniques for voltage inverter-fed induction and permanent-magnet synchronous motors. A variety of techniques, different in concept, are described as follows: switching-table-based hysteresis DTC, direct self control, constant-switching-frequency DTC with space-vector modulation (DTC-SVM). Also, trends in the DTC-SVM techniques based on neuro-fuzzy logic controllers are presented. Some oscillograms that illustrate properties of the presented techniques are shown.

1,200 citations


Additional excerpts

  • ...Methods for current control include hysteresis control [1, 2], proportional-integral control [3], direct torque control [3, 4] and predictive control [5, 6]....

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Journal ArticleDOI
TL;DR: In this article, the performance of the two control schemes is evaluated in terms of torque and current ripple, and transient response to step variations of the torque command, where secondary effects introduced by hardware implementation are not present.
Abstract: Field-oriented control and direct torque control are becoming the industrial standards for induction motors torque control. This paper is aimed at giving a contribution for a detailed comparison between the two control techniques, emphasizing advantages and disadvantages. The performance of the two control schemes is evaluated in terms of torque and current ripple, and transient response to step variations of the torque command. The analysis has been carried out on the basis of the results obtained by numerical simulations, where secondary effects introduced by hardware implementation are not present.

1,030 citations


Additional excerpts

  • ...Methods for current control include hysteresis control [1, 2], proportional-integral control [3], direct torque control [3, 4] and predictive control [5, 6]....

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Journal ArticleDOI
TL;DR: In this article, the authors derived the d, q model of the permanent magnet synchronous motor (PMSM) from the well-known synchronous machine with the equations of the damper windings and field current dynamics removed.
Abstract: Research has indicated that the permanent magnet motor drives, which include the permanent magnet synchronous motor (PMSM) and the brushless DC motor (BDCM) could become serious competitors to the induction motor for servo applications. The PMSM has a sinusoidal back EMF and requires sinusoidal stator currents to produce constant torque while the BDCM has a trapezoidal back EMF and requires rectangular stator currents to produce constant torque. The PMSM is very similar to the wound rotor synchronous machine except that the PMSM that is used for servo applications tends not to have any damper windings and excitation is provided by a permanent magnet instead of a field winding. Hence the d, q model of the PMSM can be derived from the well-known model of the synchronous machine with the equations of the damper windings and field current dynamics removed. Because of the nonsinusoidal variation of the mutual inductances between the stator and rotor in the BDCM, it is also shown that no particular advantage exists in transforming the abc equations of the BCDM to the d, q frame. Hence the solution of the original abc equations is proposed for the BDCM. >

582 citations