GREY WOLF OPTIMIZATION FOR POSITION CONTROL OF A DIRECT CURRENT MOTOR DRIVEN BY FEEDBACK LINEARIZATION METHOD
Апстракт
Several studies dealing with position control of the DC motor have reported
issues concerning friction force. This article demonstrates a nonlinear control
and optimization strategy for position control of a series servo motor. Once it is
empirically verified that the linear model does not adequately reflect the system,
the model is upgraded from linear to nonlinear. In the course of the research,
the nonlinear feedback linearizing the controller's behavior is examined. A grey
wolf metaheuristic optimization algorithm is used to find the coefficients of the
controller's gains. In this way, modern methods are applied to take a fresh look
at the existing problem. Furthermore, performance for various targeted output
signals is compared to show the approach proposed in the study. Also, a compara-
tive analysis with whale optimization algorithm is performed. The experimental
results acquired on the stated system are shown, and they validate the usage of the
nonlinear... control, demonstrating the effectiveness of using optimum feedback
linearization in electrical machines.
Кључне речи:
Nonlinear Model and Control / Grey Wolf Optimization / Feedback Linearization ApproachИзвор:
Sinteza 2022-International Scientific Conference on Information Technology and Data Related Research, 2022, THEORETICAL COMPUTER SCIENCE AND ARTIFICIAL INTELLIGENCE SESSION pp. 36-43Издавач:
- Belgrade : Singidunum University
Финансирање / пројекти:
- MISSION4.0 - Deep Machine Learning and Swarm Intelligence-Based Optimization Algorithms for Control and Scheduling of Cyber-Physical Systems in Industry 4.0 (RS-6523109)
- Министарство науке, технолошког развоја и иновација Републике Србије, институционално финансирање - 200105 (Универзитет у Београду, Машински факултет) (RS-200105)
- Иновативни приступ у примени интелигентних технолошких система за производњу делова од лима заснован на еколошким принципима (RS-35004)
Колекције
Институција/група
Mašinski fakultetTY - CONF AU - Vesović, Mitra AU - Jovanović, Radiša PY - 2022 UR - https://machinery.mas.bg.ac.rs/handle/123456789/4546 AB - Several studies dealing with position control of the DC motor have reported issues concerning friction force. This article demonstrates a nonlinear control and optimization strategy for position control of a series servo motor. Once it is empirically verified that the linear model does not adequately reflect the system, the model is upgraded from linear to nonlinear. In the course of the research, the nonlinear feedback linearizing the controller's behavior is examined. A grey wolf metaheuristic optimization algorithm is used to find the coefficients of the controller's gains. In this way, modern methods are applied to take a fresh look at the existing problem. Furthermore, performance for various targeted output signals is compared to show the approach proposed in the study. Also, a compara- tive analysis with whale optimization algorithm is performed. The experimental results acquired on the stated system are shown, and they validate the usage of the nonlinear control, demonstrating the effectiveness of using optimum feedback linearization in electrical machines. PB - Belgrade : Singidunum University C3 - Sinteza 2022-International Scientific Conference on Information Technology and Data Related Research T1 - GREY WOLF OPTIMIZATION FOR POSITION CONTROL OF A DIRECT CURRENT MOTOR DRIVEN BY FEEDBACK LINEARIZATION METHOD EP - 43 SP - THEORETICAL COMPUTER SCIENCE AND ARTIFICIAL INTELLIGENCE SESSION pp. 36 DO - 10.15308/Sinteza-2022-36-43 ER -
@conference{ author = "Vesović, Mitra and Jovanović, Radiša", year = "2022", abstract = "Several studies dealing with position control of the DC motor have reported issues concerning friction force. This article demonstrates a nonlinear control and optimization strategy for position control of a series servo motor. Once it is empirically verified that the linear model does not adequately reflect the system, the model is upgraded from linear to nonlinear. In the course of the research, the nonlinear feedback linearizing the controller's behavior is examined. A grey wolf metaheuristic optimization algorithm is used to find the coefficients of the controller's gains. In this way, modern methods are applied to take a fresh look at the existing problem. Furthermore, performance for various targeted output signals is compared to show the approach proposed in the study. Also, a compara- tive analysis with whale optimization algorithm is performed. The experimental results acquired on the stated system are shown, and they validate the usage of the nonlinear control, demonstrating the effectiveness of using optimum feedback linearization in electrical machines.", publisher = "Belgrade : Singidunum University", journal = "Sinteza 2022-International Scientific Conference on Information Technology and Data Related Research", title = "GREY WOLF OPTIMIZATION FOR POSITION CONTROL OF A DIRECT CURRENT MOTOR DRIVEN BY FEEDBACK LINEARIZATION METHOD", pages = "43-THEORETICAL COMPUTER SCIENCE AND ARTIFICIAL INTELLIGENCE SESSION pp. 36", doi = "10.15308/Sinteza-2022-36-43" }
Vesović, M.,& Jovanović, R.. (2022). GREY WOLF OPTIMIZATION FOR POSITION CONTROL OF A DIRECT CURRENT MOTOR DRIVEN BY FEEDBACK LINEARIZATION METHOD. in Sinteza 2022-International Scientific Conference on Information Technology and Data Related Research Belgrade : Singidunum University., THEORETICAL COMPUTER SCIENCE AND ARTIFICIAL INTELLIGENCE SESSION pp. 36-43. https://doi.org/10.15308/Sinteza-2022-36-43
Vesović M, Jovanović R. GREY WOLF OPTIMIZATION FOR POSITION CONTROL OF A DIRECT CURRENT MOTOR DRIVEN BY FEEDBACK LINEARIZATION METHOD. in Sinteza 2022-International Scientific Conference on Information Technology and Data Related Research. 2022;:THEORETICAL COMPUTER SCIENCE AND ARTIFICIAL INTELLIGENCE SESSION pp. 36-43. doi:10.15308/Sinteza-2022-36-43 .
Vesović, Mitra, Jovanović, Radiša, "GREY WOLF OPTIMIZATION FOR POSITION CONTROL OF A DIRECT CURRENT MOTOR DRIVEN BY FEEDBACK LINEARIZATION METHOD" in Sinteza 2022-International Scientific Conference on Information Technology and Data Related Research (2022):THEORETICAL COMPUTER SCIENCE AND ARTIFICIAL INTELLIGENCE SESSION pp. 36-43, https://doi.org/10.15308/Sinteza-2022-36-43 . .