Continuous Control Set Predictive Speed Control of SPMSM Drives With Short Prediction Horizon

Liu, Xicai; Wang, Jin; Gao, Xiaonan; Tian, Wei; Zhou, Libing; Rodríguez, José; Kennel, Ralph

doi:10.1109/tpel.2021.3118270

Cited by 21 publications

(7 citation statements)

References 28 publications

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“…Such references are not listed here since, even if very interesting and up-to-date, they are not coherent with the proposed approach which is based on the decoupled flux and speed control, without any internal current control. The most recent applications of MPC to speed control of synchronous motors have been proposed in [30], [31]. Otherwise, former proposals have been published in [32], [33].…”

Section: A Comparison With the Scientific Literaturementioning

confidence: 99%

“…This approach is comparable to the proposed ADRC as for the controlled variables, while it is hardly comparable from the control variables point of view, since the direct approach implies the direct selection of the VSI switching pattern. [31] proposes a continuous control set predictive speed control (CCS-PSC) strategy for surface-mounted permanent magnet synchronous motor (SPMSM) drives, where a reduced-order incremental model of SPMSM is adopted for the prediction; in this approach constraints on the variables are naturally accounted for. Also this approach is hardly comparable to the proposed ADRC for at least two reasons.…”

Section: A Comparison With the Scientific Literaturementioning

confidence: 99%

“…This justifies the adoption of a simplified reduced order model: such an approach could not be adopted in the SynRM case, where accurate modeling, including magnetic saturation phenomena, is crucial for guaranteeing high dynamic performance. Secondly, [31] proposes an approach implying the direct selection of the VSI switching pattern, differently from the proposed ADRC providing as a control variable the stator voltage components supplied to a PWM. [34] proposes a second-order sliding mode (SOSM) controller based on disturbance observer (DOB) to optimize the disturbance rejection property of the PMSM system.…”

Section: A Comparison With the Scientific Literaturementioning

confidence: 99%

“…, where ω n and ζ are the natural frequency and the damping factor respectively. As for the speed dynamics, ζ and ω n can be chosen to assign bandwidth and phase margin with the help of equations ( 30) and (31). Note that the approximation |σ| >> ω n is no longer needed for the direct axis flux dynamics since the system is actually second order.…”

Section: Closed Loop Dynamicsmentioning

confidence: 99%

See 3 more Smart Citations

Robust Control of Synchronous Reluctance Motor Based on Automatic Disturbance Rejection

Accetta,

Cirrincione,

D'Ippolito

et al. 2024

IEEE Open J. Ind. Applicat.

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This paper proposes the theoretical development and experimental application of the Active Disturbance Rejection Control (ADRC) to Synchronous Reluctance Motor (SynRM) drives. The ADRC is a robust adaptive extension of the input-output Feedback Linearization Control (FLC). It performs the exact linearization of the SynRM model by a suitable non-linear transformation of the state based on the online estimation of the corrective term by the so-called Extended State Observers (ESO). Consequently, any unmodelled dynamics or uncertainty of the parameters are properly addressed. The control strategy has been verified successfully both in numerical simulations and experimentally on a suitably developed test set-up that provides the ADRC robustness versus parameters variations which cannot be obtained with other model-based non-linear control techniques (e.g., FLC). Simulation results show the capability of the ADRC to maintain its dynamic performance, even in the presence of quick variations of the SynRM dynamic inductances. Experimental results confirm the robustness of the ADRC versus any model parameter uncertainty. The proposed ADRC has been experimentally compared with a previously developed FLC, in both a tuned and detuned working configuration, with the classic rotor oriented control (ROC), and with a finite state model predictive control (MPC), where speed control is integrated into the MPC. Experimental results show far better robustness versus any parameter variation.INDEX TERMS Synchronous reluctance motor (SynRM), active disturbance rejection control (ADRC), feedback linearization control (FLC), extended state observer ESO, saturation effects.

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Section: A Comparison With the Scientific Literaturementioning

confidence: 99%

Section: A Comparison With the Scientific Literaturementioning

confidence: 99%

Section: A Comparison With the Scientific Literaturementioning

confidence: 99%

Section: Closed Loop Dynamicsmentioning

confidence: 99%

See 2 more Smart Citations

Robust Control of Synchronous Reluctance Motor Based on Automatic Disturbance Rejection

Accetta,

Cirrincione,

D'Ippolito

et al. 2024

IEEE Open J. Ind. Applicat.

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show abstract

“…The current control of the electric motor drive is often subject to the advanced MPC algorithm, such as integral MPC in [11], nonlinear MPC in [12], and data-drivenbased MPC in [17]. A speed control of isotropic synchronous motors has been considered in [18], where particular attention has been paid to reduce the computational burden. Therefore, the call for a more efficient QP solver dedicated to power electronic application is strong, since it can smooth the implementation of the advanced MPC algorithm.…”

mentioning

confidence: 99%

aVsIs: An Analytical-Solution-Based Solver for Model-Predictive Control With Hexagonal Constraints in Voltage-Source Inverter Applications

Martin

Pasqualotto

Tinazzi

2022

IEEE Trans. Power Electron.

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The theory of a new analytical-solution-based algorithm for calculating the optimal solution in model-predictive control applications with hexagonal constraints is discussed in this article. Three-phase voltage-source inverters for power electronic and electric motor drive applications are the target of the proposed method. The indirect model-predictive control requires a constrained quadratic programming (QP) solver to calculate the optimal solution. Most of the QP solvers use numerical algorithms, which may result in unbearable computational burdens. However, the optimal constrained solution can be calculated in an analytical way when the control horizon is limited to the first step. A computationally efficient algorithm with a certain maximum number of operations is proposed in this article. A thorough mathematical description of the solver in both the stationary and rotating reference frames is provided. Experimental results on real test rigs featuring either an electric motor or a resistive-inductive load are reported to demonstrate the feasibility of the proposed solver, thus smoothing the way for its implementation in industrial applications. The name of the proposed solver is aVsIs, which is released under Apache License 2.0 in GitHub, and a free example is available in Code Ocean. IndexTerms-Continuous control set (CCS), interior permanent magnet (IPM), model-predictive control (MPC), permanent magnet synchronous motor (PMSM), synchronous reluctance (SynR). I. INTRODUCTION T HE model-predictive control (MPC) paradigm is popular in the scientific research community working in the power electronic and electric drive application fields. Two different MPC technique groups can be found, namely, direct and indirect MPC algorithms [1]-[3]. The former techniques do not require

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Trajectory Linearisation-based Offset-free MPC for Synchronous Electric Motor Drives with Nonlinear Magnetic Characteristic

Martin

Tinazzi

Zigliotto

2022

IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society

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Continuous Control Set Predictive Speed Control of SPMSM Drives With Short Prediction Horizon

Cited by 21 publications

References 28 publications

Robust Control of Synchronous Reluctance Motor Based on Automatic Disturbance Rejection

Robust Control of Synchronous Reluctance Motor Based on Automatic Disturbance Rejection

aVsIs: An Analytical-Solution-Based Solver for Model-Predictive Control With Hexagonal Constraints in Voltage-Source Inverter Applications

Trajectory Linearisation-based Offset-free MPC for Synchronous Electric Motor Drives with Nonlinear Magnetic Characteristic

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