A sampling time study for model predictive control in induction motor using processor-in-loop verification
This paper examines the impact of sampling time variation on Model Predictive Control (MPC) when it is applied to Induction motors (IM). Sampling time is a vital element in digital controllers, and selecting the appropriate value can be challenging. MPC is a model-dependent digital controller, which...
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| Format: | Book Section |
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Springer Science and Business Media Deutschland GmbH
2022
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| _version_ | 1796866929726586880 |
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| author | Alqaraghuli, Hasan Husain, Abdul Rashid Nik Idris, Nik Rumzi Anjum, Waqas |
| author_facet | Alqaraghuli, Hasan Husain, Abdul Rashid Nik Idris, Nik Rumzi Anjum, Waqas |
| author_sort | Alqaraghuli, Hasan |
| collection | ePrints |
| description | This paper examines the impact of sampling time variation on Model Predictive Control (MPC) when it is applied to Induction motors (IM). Sampling time is a vital element in digital controllers, and selecting the appropriate value can be challenging. MPC is a model-dependent digital controller, which is highly affected by sampling time as well as the discretization technique employed by the hardware implementation. Hardware typically uses a discrete controller, and the sampling time and the discretisation method are important factors in the performance. The study proposes utilizing PIL verification with a variety of discretisation methods and sampling times with MPFOC to monitor the performance of the microcontroller. The optimal sampling time is selected by using a numerical optimization method within several test results. The optimisation results found that using a 25 μ s sampling time with the proposed discretisation method will achieve an enhancement of 16% in total in terms of calculation time and accuracy as compared with conventional Euler’s method. |
| first_indexed | 2024-03-05T21:19:32Z |
| format | Book Section |
| id | utm.eprints-100690 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T21:19:32Z |
| publishDate | 2022 |
| publisher | Springer Science and Business Media Deutschland GmbH |
| record_format | dspace |
| spelling | utm.eprints-1006902023-04-30T08:46:10Z http://eprints.utm.my/100690/ A sampling time study for model predictive control in induction motor using processor-in-loop verification Alqaraghuli, Hasan Husain, Abdul Rashid Nik Idris, Nik Rumzi Anjum, Waqas TK Electrical engineering. Electronics Nuclear engineering This paper examines the impact of sampling time variation on Model Predictive Control (MPC) when it is applied to Induction motors (IM). Sampling time is a vital element in digital controllers, and selecting the appropriate value can be challenging. MPC is a model-dependent digital controller, which is highly affected by sampling time as well as the discretization technique employed by the hardware implementation. Hardware typically uses a discrete controller, and the sampling time and the discretisation method are important factors in the performance. The study proposes utilizing PIL verification with a variety of discretisation methods and sampling times with MPFOC to monitor the performance of the microcontroller. The optimal sampling time is selected by using a numerical optimization method within several test results. The optimisation results found that using a 25 μ s sampling time with the proposed discretisation method will achieve an enhancement of 16% in total in terms of calculation time and accuracy as compared with conventional Euler’s method. Springer Science and Business Media Deutschland GmbH 2022 Book Section PeerReviewed Alqaraghuli, Hasan and Husain, Abdul Rashid and Nik Idris, Nik Rumzi and Anjum, Waqas (2022) A sampling time study for model predictive control in induction motor using processor-in-loop verification. In: Control, Instrumentation and Mechatronics: Theory and Practice. Lecture Notes in Electrical Engineering, 921 (NA). Springer Science and Business Media Deutschland GmbH, Singapore, pp. 556-567. ISBN 978-981193922-8 http://dx.doi.org/10.1007/978-981-19-3923-5_48 DOI:10.1007/978-981-19-3923-5_48 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Alqaraghuli, Hasan Husain, Abdul Rashid Nik Idris, Nik Rumzi Anjum, Waqas A sampling time study for model predictive control in induction motor using processor-in-loop verification |
| title | A sampling time study for model predictive control in induction motor using processor-in-loop verification |
| title_full | A sampling time study for model predictive control in induction motor using processor-in-loop verification |
| title_fullStr | A sampling time study for model predictive control in induction motor using processor-in-loop verification |
| title_full_unstemmed | A sampling time study for model predictive control in induction motor using processor-in-loop verification |
| title_short | A sampling time study for model predictive control in induction motor using processor-in-loop verification |
| title_sort | sampling time study for model predictive control in induction motor using processor in loop verification |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
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