Sensorless Control of PMSM using DTC Strategy Based on PI-ILC Law and MRAS Observer

Nicola, Marcel; Nicola, Claudiu-Ionel; Sacerdoțianu, Dumitru

doi:10.1109/das49615.2020.9108974

Cited by 11 publications

(6 citation statements)

References 15 publications

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“…ON DTC STRATEGY In general terms, the PMSM operating equations in the dq rotating reference frame are given by ( 1)-( 4) [10][11][12][13].…”

Section: Proposed Pmsm Sensorless Control System Basedmentioning

confidence: 99%

“…The use of speed observers for PMSM rotor speed estimation eliminates the need for direct speed measurement using dedicated transducers, thereby increasing the overall reliability of the PMSM measurement and control system by eliminating mechanical elements whose wear and reliability can degrade overall system performance over time [1][2][3][4][5][6]. As far as the PMSM control strategies are concerned, there are two that are worth mentioning: Field Oriented Control (FOC) [7][8][9][10] and DTC [11][12][13][14]. With regard to the FOC strategy, it can be said that it offers superior performance to the DTC strategy because the controllers used in both the inner and outer loops have the minimum complexity guaranteed by the use of PI-type controllers.…”

Section: Introductionmentioning

confidence: 99%

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Improvement Performances of the SMO Observer for PMSM Sensorless Control Based on DTC Strategy Using Simulated Annealing and Reinforcement Learning TD3 Agent

Nicola,

Constantinescu

et al. 2023

Syst. Theor. Control Comput. J.

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From the elements that contribute to increasing the reliability of the control system of a Permanent Magnet Synchronous Motor (PMSM), could be enumerated the replacement of the speed transducers with software-implemented speed observers. On this basis, this paper focuses on the sensorless regulation of a PMSM using a Direct Torque Control (DTC) type strategy, in which a speed observer is used in combination with a Reinforcement Learning-Twin Delayed Deep Deterministic Policy Gradient (RL-TD3) type agent to increase the accuracy of the PMSM rotor speed estimate. Simulated Annealing (SA) is also used to achieve superior performance of the velocity observer for optimal tuning of the PI-type velocity controller parameters. The latter can, after the training phase, provide correction signals to the speed observer so that the estimated speed is as close as possible to the estimated speed. The control structures, control algorithms, and operating equations of the PMSM, the control strategy of the DTC type, and the speed observer are presented in this paper. Numerical simulations carried out in the Matlab/Simulink programming environment validate the superiority of the PMSM rotor speed estimation performance in the case of the use of an RL-TD3-type agent in combination with a speed observer, compared to the case of the use of the speed observer alone.

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“…ON DTC STRATEGY In general terms, the PMSM operating equations in the dq rotating reference frame are given by ( 1)-( 4) [10][11][12][13].…”

Section: Proposed Pmsm Sensorless Control System Basedmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Improvement Performances of the SMO Observer for PMSM Sensorless Control Based on DTC Strategy Using Simulated Annealing and Reinforcement Learning TD3 Agent

Nicola,

Constantinescu

et al. 2023

Syst. Theor. Control Comput. J.

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show abstract

“…Rahideh et al [37] improves performance of PMSM drive compared to conventional DTC by using genetic algorithm (GA)-FLC method. Here propotional intergral ontroller is also used and it is tuned using GA. Nicola et al [38] explains new strategy called combination of PI and iterative learning control (PI-ILC) for repetitive task in control system. This control technique is used to reduce the speed signal ripples if this motor has repetitive tasks.…”

Section: Control Techniquesmentioning

confidence: 99%

Various control methods of permanent magnet synchronous motor drives in electric vehicle: a technical review

Basappa

Viswanathan

2022

TELKOMNIKA

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Day by day use of internal combustion engines (ICE) compared to electric vehicles (EV) is deteriorating because mainly of pollution and their less fuel availability. In the present scenario, an electric vehicle plays a major role in place of an ICE vehicle. So that performance of EV can be improved by proper selection of electric motor. Initially, EV prefers induction motors for traction purposes, but complexity in controlling induction motor, permanent magnet synchronous motor (PMSM) presently used in EV by most of the electric vehicle manufacturers due to its advantages. This paper reviews on various control methods for PMSM used in EV. Various control methods are being used for EV applications. Initially, conventional direct torque control (DTC) technique being used in controlling electric motors but it has a drawback of high torque and flux ripples. Hence, intelligent controllers are predominantly using in controlling PMSM drives.

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“…Let us note that the non-integer order operator for integration and differentiation as aD α t , where α represents the fractional order, a and t represent the limits of the interval at which the operator is applied [27,28].…”

Section: Fractional Order Calculusmentioning

confidence: 99%

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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Sensorless Control of PMSM using DTC Strategy Based on PI-ILC Law and MRAS Observer

Cited by 11 publications

References 15 publications

Improvement Performances of the SMO Observer for PMSM Sensorless Control Based on DTC Strategy Using Simulated Annealing and Reinforcement Learning TD3 Agent

Improvement Performances of the SMO Observer for PMSM Sensorless Control Based on DTC Strategy Using Simulated Annealing and Reinforcement Learning TD3 Agent

Various control methods of permanent magnet synchronous motor drives in electric vehicle: a technical review

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

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