Optimal Tuning of Cascade Controllers for Feed Drive Systems using Particle Swarm Optimization
Само за регистроване кориснике
2019
Аутори
Petrović, MilicaVillalonga, Alberto
Miljković, Zoran
Castano, Fernando
Strzelczak, Stanislaw
Haber, Rodolfo
Конференцијски прилог (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
Cascade control configurations are one of the widely used control solutions for improving dynamic response of the feed drive systems in the manufacturing industry. However, optimal tuning of cascade controllers in presence of hard nonlinearities such as backlash and friction is still a complex and time-consuming task. This paper presents a computational procedure for tuning P-PI cascade controller by using particle swarm optimization (PSO) for a feed drive system of machine tools in the presence of friction and backlash. The minimizing of the maximum position error during the reversal of the axes is used as an objective function for optimization. The performance of the PSO method is compared in simulations and real-time experiments with the fine tune (FT) method, which is one of the standard methods applied in industry. Both, simulation and real-time experimental studies carried out on a test platform with 8070 Fagor controller show a remarkable improvement in the performance of the ca...scade control system using the proposed PSO-based strategy.
Кључне речи:
particle swarm optimization / machine tools / friction / cascade control systems / backlashИзвор:
IEEE International Conference on Industrial Informatics (INDIN), 2019, 2019-July, 325-330Издавач:
- Institute of Electrical and Electronics Engineers Inc.
Финансирање / пројекти:
- project "Cognitive inspired navigation for autonomous driving" - "Ministerio de Economia, Industria y Competitividad" [DPI2017-86915-C3-1-R]
- Иновативни приступ у примени интелигентних технолошких система за производњу делова од лима заснован на еколошким принципима (RS-MESTD-Technological Development (TD or TR)-35004)
- Polish National Agency for Academic Exchange through the project: "Industry 4.0 in Production and Aeronautical Engineering (IPAE)"
DOI: 10.1109/INDIN41052.2019.8972132
ISSN: 1935-4576
WoS: 000529510400047
Scopus: 2-s2.0-85079066668
Колекције
Институција/група
Mašinski fakultetTY - CONF AU - Petrović, Milica AU - Villalonga, Alberto AU - Miljković, Zoran AU - Castano, Fernando AU - Strzelczak, Stanislaw AU - Haber, Rodolfo PY - 2019 UR - https://machinery.mas.bg.ac.rs/handle/123456789/3177 AB - Cascade control configurations are one of the widely used control solutions for improving dynamic response of the feed drive systems in the manufacturing industry. However, optimal tuning of cascade controllers in presence of hard nonlinearities such as backlash and friction is still a complex and time-consuming task. This paper presents a computational procedure for tuning P-PI cascade controller by using particle swarm optimization (PSO) for a feed drive system of machine tools in the presence of friction and backlash. The minimizing of the maximum position error during the reversal of the axes is used as an objective function for optimization. The performance of the PSO method is compared in simulations and real-time experiments with the fine tune (FT) method, which is one of the standard methods applied in industry. Both, simulation and real-time experimental studies carried out on a test platform with 8070 Fagor controller show a remarkable improvement in the performance of the cascade control system using the proposed PSO-based strategy. PB - Institute of Electrical and Electronics Engineers Inc. C3 - IEEE International Conference on Industrial Informatics (INDIN) T1 - Optimal Tuning of Cascade Controllers for Feed Drive Systems using Particle Swarm Optimization EP - 330 SP - 325 VL - 2019-July DO - 10.1109/INDIN41052.2019.8972132 ER -
@conference{ author = "Petrović, Milica and Villalonga, Alberto and Miljković, Zoran and Castano, Fernando and Strzelczak, Stanislaw and Haber, Rodolfo", year = "2019", abstract = "Cascade control configurations are one of the widely used control solutions for improving dynamic response of the feed drive systems in the manufacturing industry. However, optimal tuning of cascade controllers in presence of hard nonlinearities such as backlash and friction is still a complex and time-consuming task. This paper presents a computational procedure for tuning P-PI cascade controller by using particle swarm optimization (PSO) for a feed drive system of machine tools in the presence of friction and backlash. The minimizing of the maximum position error during the reversal of the axes is used as an objective function for optimization. The performance of the PSO method is compared in simulations and real-time experiments with the fine tune (FT) method, which is one of the standard methods applied in industry. Both, simulation and real-time experimental studies carried out on a test platform with 8070 Fagor controller show a remarkable improvement in the performance of the cascade control system using the proposed PSO-based strategy.", publisher = "Institute of Electrical and Electronics Engineers Inc.", journal = "IEEE International Conference on Industrial Informatics (INDIN)", title = "Optimal Tuning of Cascade Controllers for Feed Drive Systems using Particle Swarm Optimization", pages = "330-325", volume = "2019-July", doi = "10.1109/INDIN41052.2019.8972132" }
Petrović, M., Villalonga, A., Miljković, Z., Castano, F., Strzelczak, S.,& Haber, R.. (2019). Optimal Tuning of Cascade Controllers for Feed Drive Systems using Particle Swarm Optimization. in IEEE International Conference on Industrial Informatics (INDIN) Institute of Electrical and Electronics Engineers Inc.., 2019-July, 325-330. https://doi.org/10.1109/INDIN41052.2019.8972132
Petrović M, Villalonga A, Miljković Z, Castano F, Strzelczak S, Haber R. Optimal Tuning of Cascade Controllers for Feed Drive Systems using Particle Swarm Optimization. in IEEE International Conference on Industrial Informatics (INDIN). 2019;2019-July:325-330. doi:10.1109/INDIN41052.2019.8972132 .
Petrović, Milica, Villalonga, Alberto, Miljković, Zoran, Castano, Fernando, Strzelczak, Stanislaw, Haber, Rodolfo, "Optimal Tuning of Cascade Controllers for Feed Drive Systems using Particle Swarm Optimization" in IEEE International Conference on Industrial Informatics (INDIN), 2019-July (2019):325-330, https://doi.org/10.1109/INDIN41052.2019.8972132 . .