A Robust Current Control Based on Proportional-Integral Observers for Permanent Magnet Synchronous Machines

Soricellis, Milo De; Rù, Davide Da; Bolognani, Silverio

doi:10.1109/tia.2017.2772171

Cited by 37 publications

(10 citation statements)

References 15 publications

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“…When the state variables converge to the sliding mode surface, the concentrated disturbance's estimated value can genuinely reflect the parameter mismatch that exists in the prediction model. The VG-STA algorithm was selected as the concentrated disturbance estimation function, as shown in (16).The proposed algorithm consists of two parts: proportional (term 4 in equation (16))and integral(term 5 in equation (16)). The value of s τ is both positive and negative.…”

Section: Current Loop Control Based On Fcs-mpcc+sccdo a Sccdo Bamentioning

confidence: 99%

“…Assuming the concentrated disturbance meets the Lipschitz continuous condition and the derivative of concentrated disturbance along the time axis exists. Take (16) into (14). 1 1…”

Section: ) Observer Stability Analysismentioning

confidence: 99%

“…Euler method is used to discretize (13) and (16), and then the discrete form of SCCDO based on the VG-STA algorithm is obtained :…”

Section: ▲Is Used To Indicate a Symmetric Element。mentioning

confidence: 99%

“…Observer-based identification algorithms include disturbance observer [16]- [21] and sliding-mode observer (SMO). M. De Soricellis et al [16]adopted a disturbance observer to replace the decoupling network of the current loop, which avoids the influence of the motor rated parameter mismatches and improves the robustness of the current loop.Y. Zhang et al [17] used a disturbance observer to observe the stator flux linkage to eliminate the disturbance error caused by the motor parameter mismatch of the prediction model.…”

Section: Introductionmentioning

confidence: 99%

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Virtual-Vector-Based Model Predictive Current Control of Five-Phase PMSM With Stator Current and Concentrated Disturbance Observer

Han

2020

IEEE Access

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The finite control set model predictive current control(FCS-MPCC)can significantly improve the dynamic performance of the five-phase permanent magnet synchronous motor (5P-PMSM), but its control performance highly depends on the accuracy of the model parameters. The parameter error compensation based on the first-order sliding mode observer can improve the robustness of FCS-MPCC under Model parameter mismatch. The introduction of the sign function leads to chattering in the observation results. In order to eliminate this chattering, a first-order low-pass filter needs to be added for compensation. However, the introduction of filters will increase system design difficulty and bring system delays, which will affect the compensation effect. Therefore, a second-order sliding mode observer, based on the variable-gain Super-Twisting algorithm, is proposed to realize the parameter error estimation and one-beat delay compensation in this paper. By establishing the Lyapunov function, the stability proof of the proposed observer, and the calculation method of the observer parameters are given. Besides, the third harmonic current can be suppressed, and the computational burden of the control unit can be reduced by controlling the proportion of medium vector and large vector reasonably. According to the deadbeat control, the optimal virtual voltage vector action time in each cycle is obtained, which improves the tracking ability of the reference current. At last，Extensive experimental results validate that i) the proposed observer can significantly improve the robustness of model predictive current control even under parameters mismatch; ii) the proposed control method can effectively enhance the dynamic performance of the 5-phase PMSM. INDEX TERMS five-phase PMSM, finite control set model predictive current control (FCS-MPCC), duty ratio, virtual voltage vector (V3), variable-gain Super-Twisting algorithm(VG-STA).

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Section: Current Loop Control Based On Fcs-mpcc+sccdo a Sccdo Bamentioning

confidence: 99%

“…Assuming the concentrated disturbance meets the Lipschitz continuous condition and the derivative of concentrated disturbance along the time axis exists. Take (16) into (14). 1 1…”

Section: ) Observer Stability Analysismentioning

confidence: 99%

“…Euler method is used to discretize (13) and (16), and then the discrete form of SCCDO based on the VG-STA algorithm is obtained :…”

Section: ▲Is Used To Indicate a Symmetric Element。mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Virtual-Vector-Based Model Predictive Current Control of Five-Phase PMSM With Stator Current and Concentrated Disturbance Observer

Han

2020

IEEE Access

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“…Therefore, many advanced nonlinear control topologies have been developed in recent years to progress the speed regulation performance of PMSM motors in different applications. These methods include neural network control [18], backstepping control [19], automatic disturbance rejection control [20], fuzzy logic control (FLC) [21], predictive control [5], artificial intelligence-incorporated control [22], sliding mode control (SMC) [23], adaptive control [24], variable structure control (VSC) [25], predictive current control (PCC) [20], disturbance observer (DOB) [26], and extended state observer (ESO) [27,28]. Furthermore, for the speed regulation of the PMSM, as alternative to the conventional PI control method, H∞ control is in operational use.…”

Section: Introductionmentioning

confidence: 99%

Critical Review on Robust Speed Control Techniques for Permanent Magnet Synchronous Motor (PMSM) Speed Regulation

2022

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The permanent magnet synchronous motor (PMSM) is a highly efficient energy saving machine. Due to its simple structural characteristics, good heat radiation capability, and high efficiency, PMSMs are gradually replacing AC induction motors in many industrial applications. The PMSM has a nonlinear system and lies on parameters that differ over time with complex high-class dynamics. To achieve the excessive performance operation of a PMSM, it essentially needs a speed controller for providing accurate speed tracking, slight overshoot, and robust disturbance repulsion. Therefore, this article provides an overview of different robust control techniques for PMSMs and reviews the implementation of a speed controller. In view of the uncertainty factors, such as parameter perturbation and load disturbance, the H∞ robust control strategy is mainly reviewed based on the traditional control techniques, i.e., robust H∞ sliding mode controller (SMC), and H∞ robust current controller based on Hamilton–Jacobi Inequality (HJI) theory. Based on comparative analysis, this review simplifies the development trend of different control technologies used for a PMSM speed regulation system.

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A Novel Sensorless Control Approach for IPMSM Using Extended Flux Based PI Observer for Washing Machine Applications

Salman

Yilmaz

2023

Int. J. Control Autom. Syst.

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A Robust Current Control Based on Proportional-Integral Observers for Permanent Magnet Synchronous Machines

Cited by 37 publications

References 15 publications

Virtual-Vector-Based Model Predictive Current Control of Five-Phase PMSM With Stator Current and Concentrated Disturbance Observer

Virtual-Vector-Based Model Predictive Current Control of Five-Phase PMSM With Stator Current and Concentrated Disturbance Observer

Critical Review on Robust Speed Control Techniques for Permanent Magnet Synchronous Motor (PMSM) Speed Regulation

A Novel Sensorless Control Approach for IPMSM Using Extended Flux Based PI Observer for Washing Machine Applications

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