A Survey of Swarm Intelligence-based Optimization Algorithms for Tuning of Cascade Control Systems: Concepts, Models and Applications
Апстракт
Nowadays, cascade control is still one of the most used control strategies in the manufacturing and process industries. The new requirements of precision and robustness of position and trajectory tracking in control systems for manufacturing components at micro-scale, influenced by hard nonlinearities such as friction and backlash, have motivated the effort toward the development of algorithms for optimal tuning of control parameters. This paper presents a literature review of the algorithms and methods used to solve this problem. Swarm intelligence inspired optimization algorithms, namely particle swarm optimization algorithm (PSO) and grey wolf optimization algorithm (GWO), are applied for tuning of P-PI cascade controllers of CNC machine tool servo system in the presence of friction and backlash. The objective of the optimization is to minimize the maximum position error during the reversal of the axes. A comparative analysis of proposed algorithms with a standard industry-based fin...e tune (FT) method is also provided. Simulation study as well as real-world experiments carried out on a CNC machine tool controller show a remarkable improvement in the performance of the cascade control system using the proposed swarm intelligence-based strategy.
Кључне речи:
swarm intelligence / particle swarm optimization / grey wolf optimizer / cascade control systemsИзвор:
Plenary Session - Invited paper, Proceedings of the 5th International Conference - Mechnanical Engineering in XXI Century (MASING 2020), Niš, December 09-10, 2020, 2020, 3-8Издавач:
- University of Niš - Faculty of Mechanical Engineering
Финансирање / пројекти:
- Министарство науке, технолошког развоја и иновација Републике Србије, институционално финансирање - 200105 (Универзитет у Београду, Машински факултет) (RS-MESTD-inst-2020-200105)
- MISSION4.0 - Deep Machine Learning and Swarm Intelligence-Based Optimization Algorithms for Control and Scheduling of Cyber-Physical Systems in Industry 4.0 (RS-ScienceFundRS-AI-6523109)
Колекције
Институција/група
Mašinski fakultetTY - CONF AU - Miljković, Zoran AU - Petrović, Milica PY - 2020 UR - https://machinery.mas.bg.ac.rs/handle/123456789/4418 AB - Nowadays, cascade control is still one of the most used control strategies in the manufacturing and process industries. The new requirements of precision and robustness of position and trajectory tracking in control systems for manufacturing components at micro-scale, influenced by hard nonlinearities such as friction and backlash, have motivated the effort toward the development of algorithms for optimal tuning of control parameters. This paper presents a literature review of the algorithms and methods used to solve this problem. Swarm intelligence inspired optimization algorithms, namely particle swarm optimization algorithm (PSO) and grey wolf optimization algorithm (GWO), are applied for tuning of P-PI cascade controllers of CNC machine tool servo system in the presence of friction and backlash. The objective of the optimization is to minimize the maximum position error during the reversal of the axes. A comparative analysis of proposed algorithms with a standard industry-based fine tune (FT) method is also provided. Simulation study as well as real-world experiments carried out on a CNC machine tool controller show a remarkable improvement in the performance of the cascade control system using the proposed swarm intelligence-based strategy. PB - University of Niš - Faculty of Mechanical Engineering C3 - Plenary Session - Invited paper, Proceedings of the 5th International Conference - Mechnanical Engineering in XXI Century (MASING 2020), Niš, December 09-10, 2020 T1 - A Survey of Swarm Intelligence-based Optimization Algorithms for Tuning of Cascade Control Systems: Concepts, Models and Applications EP - 8 SP - 3 UR - https://hdl.handle.net/21.15107/rcub_machinery_4418 ER -
@conference{ author = "Miljković, Zoran and Petrović, Milica", year = "2020", abstract = "Nowadays, cascade control is still one of the most used control strategies in the manufacturing and process industries. The new requirements of precision and robustness of position and trajectory tracking in control systems for manufacturing components at micro-scale, influenced by hard nonlinearities such as friction and backlash, have motivated the effort toward the development of algorithms for optimal tuning of control parameters. This paper presents a literature review of the algorithms and methods used to solve this problem. Swarm intelligence inspired optimization algorithms, namely particle swarm optimization algorithm (PSO) and grey wolf optimization algorithm (GWO), are applied for tuning of P-PI cascade controllers of CNC machine tool servo system in the presence of friction and backlash. The objective of the optimization is to minimize the maximum position error during the reversal of the axes. A comparative analysis of proposed algorithms with a standard industry-based fine tune (FT) method is also provided. Simulation study as well as real-world experiments carried out on a CNC machine tool controller show a remarkable improvement in the performance of the cascade control system using the proposed swarm intelligence-based strategy.", publisher = "University of Niš - Faculty of Mechanical Engineering", journal = "Plenary Session - Invited paper, Proceedings of the 5th International Conference - Mechnanical Engineering in XXI Century (MASING 2020), Niš, December 09-10, 2020", title = "A Survey of Swarm Intelligence-based Optimization Algorithms for Tuning of Cascade Control Systems: Concepts, Models and Applications", pages = "8-3", url = "https://hdl.handle.net/21.15107/rcub_machinery_4418" }
Miljković, Z.,& Petrović, M.. (2020). A Survey of Swarm Intelligence-based Optimization Algorithms for Tuning of Cascade Control Systems: Concepts, Models and Applications. in Plenary Session - Invited paper, Proceedings of the 5th International Conference - Mechnanical Engineering in XXI Century (MASING 2020), Niš, December 09-10, 2020 University of Niš - Faculty of Mechanical Engineering., 3-8. https://hdl.handle.net/21.15107/rcub_machinery_4418
Miljković Z, Petrović M. A Survey of Swarm Intelligence-based Optimization Algorithms for Tuning of Cascade Control Systems: Concepts, Models and Applications. in Plenary Session - Invited paper, Proceedings of the 5th International Conference - Mechnanical Engineering in XXI Century (MASING 2020), Niš, December 09-10, 2020. 2020;:3-8. https://hdl.handle.net/21.15107/rcub_machinery_4418 .
Miljković, Zoran, Petrović, Milica, "A Survey of Swarm Intelligence-based Optimization Algorithms for Tuning of Cascade Control Systems: Concepts, Models and Applications" in Plenary Session - Invited paper, Proceedings of the 5th International Conference - Mechnanical Engineering in XXI Century (MASING 2020), Niš, December 09-10, 2020 (2020):3-8, https://hdl.handle.net/21.15107/rcub_machinery_4418 .