Robust Control of Fault-Tolerant Permanent-Magnet Synchronous Motor for Aerospace Application With Guaranteed Fault Switch Process

Guo, Hong; Xu, Jun; Chen, Ye‐Hwa

doi:10.1109/tie.2015.2453935

Cited by 100 publications

(52 citation statements)

References 26 publications

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“…Permanent-magnet synchronous motors are widely used in various applications due to their simple control, high efficiency, good torque characteristics, and low loss [1]. Current control methods for PMSM include proportional-integral-derivative (PID), sliding mode, adaptive, predictive, and active disturbance rejection control [2][3][4][5]. However, the application environment is generally complex and often has various disturbances because PMSM is a nonlinear, multivariable, and strongly coupled system.…”

Section: Introductionmentioning

confidence: 99%

Speed Control of PMSM Based on an Optimized ADRC Controller

Meng

Liu

Wang

2019

Mathematical Problems in Engineering

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Permanent-magnet synchronous motor (PMSM) is a nonlinear, multivariate, strongly coupled system with uncertain external interference. A general control method cannot meet system requirements. This study proposes an optimal control strategy based on active disturbance rejection control (ADRC) to achieve high-precision control of PMSM. First, interpolation fitting is used to construct a nonlinear function with improved continuity and derivative near the origin and segment points. Second, various components of active disturbance rejection control are constructed based on the new nonlinear function, which mainly improves the extended state observer and nonlinear state error feedback. Simulation results show that under similar parameters, the improved active disturbance rejection control has smaller overshoot, faster tracking capacity, and stronger anti-interference capability compared with traditional active disturbance rejection control. Finally, the optimized active disturbance rejection control is used in the motion control system of PMSM. Experimental results show that the proposed optimal control strategy is simple and has good control performance.

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Section: Introductionmentioning

confidence: 99%

Speed Control of PMSM Based on an Optimized ADRC Controller

Meng

Liu

Wang

2019

Mathematical Problems in Engineering

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“…With the ever-increasing demands for designing a controller with anti-disturbance ability beyond PID, an active disturbance rejection control scheme inheriting the error-based characteristic from PID control was proposed [27]. Motivated by the fact that error-based and model-based disturbance rejection methods have been successfully applied in practice, a robust speed control for motor was designed in [28] based on both model and error. Robust control has significant advantages, such as strong robustness to parameter uncertainties and external disturbances, and simplicity of implementation.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy-Set Theory Based Optimal Robust Design for Position Tracking Control of Permanent Magnet Linear Motor

et al. 2019

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In this paper, we design an optimal robust control to address the problem of position tracking control for permanent magnet linear motor (PMLM). The uncertainties in PMLM system, including parameters uncertainty and external disturbance, are nonlinear and time-varying. The uncertainties are assumed to be bounded, and the bounds are described via fuzzy sets. Then, a model-based robust control in deterministic form is proposed. Furthermore, an optimal robust control for PMLM system is formulated as a fuzzy performance index optimization problem, which associated with both the fuzzy system performance and the control cost. The resulting optimal control can guarantee the uniform boundedness and uniform ultimate boundedness. Moreover, on the experimental platform, rapid controller prototyping cSPACE is designed to avoid long time programming and debugging, and provides great convenience for practical operation. Numerical simulations and real-time experimental results are finally presented to illustrate the effectiveness of the optimal robust control for PMLM. INDEX TERMS Fuzzy set theory, optimal control, permanent magnet motors, robust control, uncertainty.

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“…Such systems make it possible to reduce the mass of the motor and the space occupied by the drives while maintaining high reliability. Electric machines used in high-reliability critical drives include induction machines [11][12][13], switched reluctance machines [8,14], permanent magnet synchronous machines (PMSM) [15][16][17], and brushless direct current machines with a permanent magnet (BLDCM) [7,18]. Unlike multi-phase solutions, multi-channels have clearly separated channels that are usually supplied by separate power supply sources [7,8].…”

Section: Introductionmentioning

confidence: 99%

“…In a critical situation, the motor works in overload mode (SCO mode). Laboratory tests conducted for one of the variants demonstrated that the TCO work mode is characterized by worse vibroacoustic parameters than the DCO A and C mode.Energies 2019, 12, 3667 2 of 21 (SRM) [8,14], permanent magnet synchronous machines (PMSM) [15][16][17], and brushless direct current machines with a permanent magnet (BLDCM) [7,18]. Unlike multi-phase solutions, multi-channels have clearly separated channels that are usually supplied by separate power supply sources [7,8].In the case of multi-channel three-phase machines, each channel consists of three windings that are electrically separated from the windings of the other channels [15].…”

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The Fault-Tolerant Quad-Channel Brushless Direct Current Motor

2019

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In this study, a permanent magnet brushless direct current machine with multi-phase windings is proposed for critical drive systems. We have named the solution, which has four-stator winding, a quad-channel permanent magnet brushless direct current (QCBLDC) motor. The stator windings are supplied by four independent power converters under quad-channel operation (QCO) mode. After a fault in either one, two, or three channels, further operation of the machine can be continued in triple-channel operation (TCO) mode, dual-channel operation (DCO) mode, or single-channel operation (SCO) mode. In this paper, a novel mathematical model is proposed for a QCBLDC machine. This model takes into account the nonlinearity of a magnetic circuit and all of the couplings between the phases within a given channel, as well as between channels. Based on numerical calculations, the static electromagnetic moment and the coupled fluxes were determined for the individual windings of the variants and work modes being analyzed. A normal work condition can be achieved in the QCO or DCO modes. For the DCO mode, an acceptable case uses a balanced magnetic pull (A and C channels supplied). The DCO A and B type work mode is comparable to the DCO A and C mode with regard to its efficiency in processing electrical energy. The vibroacoustic parameters of this mode, however, are much worse. In fault states, TCO, DCO, and SCO work modes are possible. As the number of active channels decreases, the efficiency of energy processing also decreases. In a critical situation, the motor works in overload mode (SCO mode). Laboratory tests conducted for one of the variants demonstrated that the TCO work mode is characterized by worse vibroacoustic parameters than the DCO A and C mode.

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Robust Control of Fault-Tolerant Permanent-Magnet Synchronous Motor for Aerospace Application With Guaranteed Fault Switch Process

Cited by 100 publications

References 26 publications

Speed Control of PMSM Based on an Optimized ADRC Controller

Speed Control of PMSM Based on an Optimized ADRC Controller

Fuzzy-Set Theory Based Optimal Robust Design for Position Tracking Control of Permanent Magnet Linear Motor

The Fault-Tolerant Quad-Channel Brushless Direct Current Motor

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