Model predictive control by combining vectors for surface and interior permanent‐magnet synchronous motor. (25th May 2021)
- Record Type:
- Journal Article
- Title:
- Model predictive control by combining vectors for surface and interior permanent‐magnet synchronous motor. (25th May 2021)
- Main Title:
- Model predictive control by combining vectors for surface and interior permanent‐magnet synchronous motor
- Authors:
- Abareshi, Saeed
Tohidi, Sajjad
Bannae Sharifian, Mohammad Bagher
Younesi, Aria - Abstract:
- Summary: Model predictive control has been introduced as a robust and high‐performance control method for the permanent‐magnet synchronous motor (PMSM) due to its accuracy, simplicity, and flexibility in the controlled variables. In this article, an optimized finite control set‐model predictive control method (FCS‐MPC) for the surface mounted and interior PMSM supplied by a 2‐level voltage source inverter (2L‐VSI) is proposed. In each sampling time of conventional FCS‐MPC, voltage is implemented only one time, which increases the motor's steady‐state errors. In order to decrease such errors, recently published papers have proposed combining two or three voltage vectors in a sampling time. Although using several combinations of voltage vectors increases the complexity, it leads to superior performance. In this article, a more desirable result is obtained by using combinations of five voltage vectors. In the proposed method, two extra candidates, in addition to the common choices, are added to each period, which leads to generating a voltage vector closer to the reference one and thereby, resulting in better performance. Moreover, the principle of dead‐beat control is used to accelerate the calculation; also proposed method calculates the duty cycle just for the selected vector instead of all vectors, so execution time decreases. The simulation results obtained by MATLAB/Simulink confirm the efficacy of the proposed MPC method. Abstract : In this article, a novel method of MPCSummary: Model predictive control has been introduced as a robust and high‐performance control method for the permanent‐magnet synchronous motor (PMSM) due to its accuracy, simplicity, and flexibility in the controlled variables. In this article, an optimized finite control set‐model predictive control method (FCS‐MPC) for the surface mounted and interior PMSM supplied by a 2‐level voltage source inverter (2L‐VSI) is proposed. In each sampling time of conventional FCS‐MPC, voltage is implemented only one time, which increases the motor's steady‐state errors. In order to decrease such errors, recently published papers have proposed combining two or three voltage vectors in a sampling time. Although using several combinations of voltage vectors increases the complexity, it leads to superior performance. In this article, a more desirable result is obtained by using combinations of five voltage vectors. In the proposed method, two extra candidates, in addition to the common choices, are added to each period, which leads to generating a voltage vector closer to the reference one and thereby, resulting in better performance. Moreover, the principle of dead‐beat control is used to accelerate the calculation; also proposed method calculates the duty cycle just for the selected vector instead of all vectors, so execution time decreases. The simulation results obtained by MATLAB/Simulink confirm the efficacy of the proposed MPC method. Abstract : In this article, a novel method of MPC is proposed which increases the inverter voltage vectors by combining vectors. It is verified via simulations on the 2L‐VSI‐SPMSM and IPMSM. Due to the various applications of SPMSM and IPMSM, the proposed approach has been adopted to control both of them. The advantages of the proposed controller over the conventional one come from the new vector selection procedure by embracing the principle of DBC and utilizing two additional voltage combinations. The additional combinations produce two new voltage vectors with specific angles and sizes, which could be closer to the reference voltage vector. In particular, if the reference vector is in the middle of the desired sector, these new vectors will be the best choice. Moreover, the aforementioned method first determines the sector of the reference vector. Hence, there is no need for comparing all voltage vectors. Then, the vectors of that sector are compared and only, the duty cycle of the selected vector is calculated. It is noteworthy that in the previously proposed methods, duty cycles of different vectors are calculated and then, the vectors are compared. Therefore, the shorter execution time of the program is another reason for its superiority. … (more)
- Is Part Of:
- International transactions on electrical energy systems. Volume 31:Number 8(2021)
- Journal:
- International transactions on electrical energy systems
- Issue:
- Volume 31:Number 8(2021)
- Issue Display:
- Volume 31, Issue 8 (2021)
- Year:
- 2021
- Volume:
- 31
- Issue:
- 8
- Issue Sort Value:
- 2021-0031-0008-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2021-05-25
- Subjects:
- dead‐beat control (DBC) -- finite control set‐model predictive control (FCS‐MPC) -- interior permanent‐magnet synchronous motor (IPMSM) -- model predictive control (MPC) -- surface mounted permanent‐magnet synchronous motor (SPMSM)
Electric power -- Periodicals
Electric power systems -- Periodicals
Electrical engineering -- Periodicals
621.3 - Journal URLs:
- http://www3.interscience.wiley.com/cgi-bin/jtoc/106562716/all ↗
http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2050-7038 ↗
https://www.hindawi.com/journals/itees/ ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/2050-7038.12959 ↗
- Languages:
- English
- ISSNs:
- 2050-7038
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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