Sensorless control of Five level inverter fed Fuzzy Logic based DTFC SVM Controlled PMSM drive using Luenberger Observer

Tangirala, Isradani; Ramesh, T.; Kumar, Poondla Dharmendra; Pothuraju, Ramakrishna

doi:10.1109/globconet53749.2022.9872477

Cited by 2 publications

(2 citation statements)

References 13 publications

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“…Starting from the PID speed controller equation, this section presents a computational intelligence algorithm for optimizing the controller tuning parameters. In relation (16), the equation describing a PID controller is presented, with the mention that in the present application K d = 0 is customized, obtaining in practice a PI controller. The PI controller output noted u(t) in relation (16), integrated in the cascade control structure presented in Section II, will represent the reference size of the torque control loop.…”

Section: B Simulated Annealing Algorithmmentioning

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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Section: B Simulated Annealing Algorithmmentioning

confidence: 99%

“…As far as velocity observers are concerned, we mention their implementations using the Sliding Mode Observer (SMO) algorithm [15], Luenberger [16], Model Reference Adaptive System (MRAS) [17], and Kalman [18] in the case of the stochastic approach. Among these observers, those using the SMO algorithm show very good and robust behavior.…”

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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Improvement Performances of Sensorless Control for PMSM Based on DTC Strategy Using SMO Observer and RL-TD3 Agent

Nicola¹,

Nicola²

2023

2023 5th Global Power, Energy and Communication Conference (GPECOM)

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Sensorless control of Five level inverter fed Fuzzy Logic based DTFC SVM Controlled PMSM drive using Luenberger Observer

Cited by 2 publications

References 13 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

Improvement Performances of Sensorless Control for PMSM Based on DTC Strategy Using SMO Observer and RL-TD3 Agent

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