Direct Torque Control of PMSM with Modified Finite Set Model Predictive Control

Bao, Guangqing; Qi, WuGang

doi:10.3390/en13010234

Cited by 31 publications

(29 citation statements)

References 22 publications

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“…|arg(eig(A))| > q π 2 (6) where 0 < q < 1 represents the commensurate order, and eig(A) is the eigenvalue of the associated matrix A.…”

Section: Fractional Order Calculusmentioning

confidence: 99%

“…Naturally, for the control of the PMSM, a number of algorithms and control strategies have been developed, both in the range of the classic type of control, and also as through modern and unconventional approaches. The field oriented control (FOC) and direct torque control (DTC) [1][2][3][4][5][6][7] can be distinguished among the control strategies of the PMSM. The DTC strategy is characterized by a simpler structure in terms of controllers which are generally ON-OFF, but inherently the performance of the control system is affected by the occurrence of oscillations.…”

Section: Introductionmentioning

confidence: 99%

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Sensorless Fractional Order Control of PMSM Based on Synergetic and Sliding Mode Controllers

Nicola¹,

Nicola

2020

Electronics

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The field oriented control (FOC) strategy of the permanent magnet synchronous motor (PMSM) includes all the advantages deriving from the simplicity of using PI-type controllers, but inherently the control performances are limited due to the nonlinear model of the PMSM, the need for wide-range and high-dynamics speed and load torque control, but also due to the parametric uncertainties which occur especially as a result of the variation of the combined rotor-load moment of inertia, and of the load resistance. Based on the fractional calculus for the integration and differentiation operators, this article presents a number of fractional order (FO) controllers for the PMSM rotor speed control loops, and id and iq current control loops in the FOC-type control strategy. The main contribution consists of proposing a PMSM control structure, where the controller of the outer rotor speed control loop is of FO-sliding mode control (FO-SMC) type, and the controllers for the inner control loops of id and iq currents are of FO-synergetic type. Superior performances are obtained by using the control system proposed, even in the case of parametric variations. The performances of the proposed control system are validated both by numerical simulations and experimentally, through the real-time implementation in embedded systems.

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“…|arg(eig(A))| > q π 2 (6) where 0 < q < 1 represents the commensurate order, and eig(A) is the eigenvalue of the associated matrix A.…”

Section: Fractional Order Calculusmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Sensorless Fractional Order Control of PMSM Based on Synergetic and Sliding Mode Controllers

Nicola¹,

Nicola

2020

Electronics

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show abstract

“…This approach can be used to address multivariable system constraints and nonlinearities in a very intuitive way [19]. Therefore, MPC has been successfully used for different applications, such as power converters connected to resistor-inductor (RL) loads [20], power electronics fault tolerance [21][22][23], energy management of electric vehicles [24,25], autonomous vehicle control [26,27], and high-performance drives for AC machines [28][29][30][31][32]. In [28], an MPCbased vector control method named GTV-MPTC for induction machines is proposed to cause the instantaneous torque to reach its reference value at the end of the next control period.…”

Section: Introductionmentioning

confidence: 99%

Model-Based Predictive Rotor Field-Oriented Angle Compensation for Induction Machine Drives

2021

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In this paper, a model-based predictive rotor field-oriented angle compensation approach is proposed for induction machine drives. Indirect rotor field-oriented control is widely used in induction machine drives for its simple implementation and low cost. However, the accuracy of the rotor field-oriented angle is affected by variable parameters such as the rotor resistance and inductance. An inaccurate rotor field-oriented angle leads to a degradation of the torque and dynamic performance, especially in the high-speed flux-weakening region. Therefore, the d-axis and q-axis currents in the rotation reference frame are predicted based on the model and compared with the feedback current to correct the rotor field-oriented angle. To improve the stability and robustness, the proposed predictive algorithm is based on the storage current, voltage, and velocity data. The algorithm can be easily realized in real-time. Finally, the simulated and experimental results verify the algorithm’s effectiveness on a 7.5 kW induction machine setup.

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“…This allows to minimize the complexity of the calculations in the algorithm, yet at the same time the dynamics of the plant could be worse, especially in the presence of the constraints. However, according to the review of the literature, this approach is commonly used in the domain of power electronics and drive control, particularly of current and torque control [5,[8][9][10][11][12]18,23,[28][29][30][31][32][33][34][36][37][38][39][40][41].…”

Section: Introductionmentioning

confidence: 99%

“…The MPC can also be divided, with reference to the character of the control signal, into CS-MPC (Continuous Set Model Predictive Control) and FS-MPC (Finite Set Model Predictive Control) [9][10][11]33,34,[36][37][38]. In the first framework the MPC controller generates the signal, which takes any value within the specified range.…”

Section: Introductionmentioning

confidence: 99%

Model Predictive Base Direct Speed Control of Induction Motor Drive—Continuous and Finite Set Approaches

2020

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In the paper a comparative study of the two control structures based on MPC (Model Predictive Control) for an electrical drive system with an induction motor are presented. As opposed to the classical approach, in which DFOC (Direct Field Oriented Control) with four controllers is considered, in the current study only one MPC controller is utilized. The proposed control structures have a cascade free structure that consists of a vector of electromagnetic (torque, flux) and mechanical (speed) states of the system. The first investigated framework is based on the finite-set MPC. A short horizon predictive window is selected. The continuous set MPC is used in the second framework. In this case the predictive horizon contains several samples. The computational complexity of the algorithm is reduced by applying its explicit version. Different implementation aspects of both MPC structures, for instance the model used in prediction, complexity of the control algorithms, and their properties together with the noise level are analyzed. The effectiveness of the proposed approach is validated by some experimental tests.

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Direct Torque Control of PMSM with Modified Finite Set Model Predictive Control

Cited by 31 publications

References 22 publications

Sensorless Fractional Order Control of PMSM Based on Synergetic and Sliding Mode Controllers

Sensorless Fractional Order Control of PMSM Based on Synergetic and Sliding Mode Controllers

Model-Based Predictive Rotor Field-Oriented Angle Compensation for Induction Machine Drives

Model Predictive Base Direct Speed Control of Induction Motor Drive—Continuous and Finite Set Approaches

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