An extended-horizon model predictive torque control with computationally efficient implementation for PMSM drives

In this paper, an extended-horizon predictive torque control (PTC) method is proposed with computationally efficient implementation. Predictive control with extended horizon brings important advantages compared to single-horizon methods, such as better steady-state performance, reduced current THD,...

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Published in:	International journal of control Vol. 96; no. 5; pp. 1298 - 1313
Main Authors:	Amiri, Mohamad, Arab Khaburi, Davood, Heshmatian, Saeed, Khosravi, Mahyar, Rodriguez, Jose, Garcia Peñailillo, Cristian
Format:	Journal Article
Language:	English
Published:	Abingdon Taylor & Francis 04-05-2023 Taylor & Francis Ltd
Subjects:	AC motor drive Computational efficiency Control methods Electric potential Horizon permanent magnet synchronous motor Predictive control Predictive torque control Stators Torque Voltage
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Abstract	In this paper, an extended-horizon predictive torque control (PTC) method is proposed with computationally efficient implementation. Predictive control with extended horizon brings important advantages compared to single-horizon methods, such as better steady-state performance, reduced current THD, and lower ripples in torque and stator flux. However, the computational burden is a serious obstacle because the required calculations rise exponentially with the extension of the prediction horizon. This is due to a high number of candidate voltage vectors and also predicting the values of several machine variables for these vectors. Different approaches are employed in this work to make the control method computationally tractable. A voltage vector reduction technique is utilised that significantly decreases the total number of enumerated vectors. Moreover, the stator current prediction is eliminated in the proposed method, based on the inherent features of the PMSM. The proposed method is experimentally implemented and its good performance and advantages are verified.
AbstractList	In this paper, an extended-horizon predictive torque control (PTC) method is proposed with computationally efficient implementation. Predictive control with extended horizon brings important advantages compared to single-horizon methods, such as better steady-state performance, reduced current THD, and lower ripples in torque and stator flux. However, the computational burden is a serious obstacle because the required calculations rise exponentially with the extension of the prediction horizon. This is due to a high number of candidate voltage vectors and also predicting the values of several machine variables for these vectors. Different approaches are employed in this work to make the control method computationally tractable. A voltage vector reduction technique is utilised that significantly decreases the total number of enumerated vectors. Moreover, the stator current prediction is eliminated in the proposed method, based on the inherent features of the PMSM. The proposed method is experimentally implemented and its good performance and advantages are verified.
Author	Garcia Peñailillo, Cristian Arab Khaburi, Davood Khosravi, Mahyar Heshmatian, Saeed Amiri, Mohamad Rodriguez, Jose
Author_xml	– sequence: 1 givenname: Mohamad surname: Amiri fullname: Amiri, Mohamad organization: Iran University of Science and Technology (IUST) – sequence: 2 givenname: Davood orcidid: 0000-0001-5861-0213 surname: Arab Khaburi fullname: Arab Khaburi, Davood email: khaburi@iust.ac.ir organization: Iran University of Science and Technology (IUST) – sequence: 3 givenname: Saeed surname: Heshmatian fullname: Heshmatian, Saeed organization: Iran University of Science and Technology (IUST) – sequence: 4 givenname: Mahyar surname: Khosravi fullname: Khosravi, Mahyar organization: Iran University of Science and Technology (IUST) – sequence: 5 givenname: Jose surname: Rodriguez fullname: Rodriguez, Jose organization: Universidad Andres Bello – sequence: 6 givenname: Cristian surname: Garcia Peñailillo fullname: Garcia Peñailillo, Cristian organization: Universidad Andres Bello
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SubjectTerms	AC motor drive Computational efficiency Control methods Electric potential Horizon permanent magnet synchronous motor Predictive control Predictive torque control Stators Torque Voltage
Title	An extended-horizon model predictive torque control with computationally efficient implementation for PMSM drives
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