Robust Flatness Based Control of an Electromagnetic Linear Actuator Using Adaptive PID Controller
| Autor: | Steven Liu, Paolo Mercorelli, Kai Lehmann |
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| Zdroj: | Scopus-Elsevier Mercorelli, P, Lehmann, K & Liu, S 2003, Robust Flatness Based Control of an Electromagnetic Linear Actuator Using Adaptive PID Controller . in Proceedings of the 42nd IEEE Conference on Decision and Control Conference, CDC-2003 . vol. 4, 1271739, Proceedings of the IEEE Conference on Decision and Control, IEEE, pp. 3790-3795, 42nd Institute of Electrical and Electronics Engineers Conference on Decision and Control-2003, Maui, United States, 09.12.03 . https://doi.org/10.1109/CDC.2003.1271739 Mercorelli, P, Lehmann, K & Liu, S 2003, Robust Flatness Based Control of an Electromagnetic Linear Actuator Using Adaptive PID Controller . in Proceedings of the 42nd IEEE Conference on Decision and Control Conference, CDC-2003 . vol. 4, IEEE Conference on Decision and Control, IEEE, pp. 3790-3795, 42nd IEEE Conference on Decision and Control Conference, CDC-2003, Maui, HI, United States, 09.12.03 . DOI: 10.1109/CDC.2003.1271739 |
| Popis: | The paper presents the controller design for a high-force short-stroke linear actuator using permanent magnets as excitation. For the desired application a very high dynamic is required despite the presence of large disturbances. After the model description, a flatness based control is presented to force the system following a reference trajectory. Additionally, an adaptive feedback control, based on the PID structure and state observer, is used to stabilize the tracking against model uncertainties and external disturbance signals. A heuristic algorithm in receding horizon by using wavelets for on-line tuning of the controller parameters is proposed. Simulations using real data have been carried out to validate the proposed technique. The paper presents the controller design for a high-force short-stroke linear actuator using permanent magnets as excitation. For the desired application a very high dynamic is required despite the presence of large disturbances. After the model description, a flatness based control is presented to force the system following a reference trajectory. Additionally, an adaptive feedback control, based on the PID structure and state observer, is used to stabilize the tracking against model uncertainties and external disturbance signals. A heuristic algorithm in receding horizon by using wavelets for on-line tuning of the controller parameters is proposed. Simulations using real data have been carried out to validate the proposed technique. |
| Databáze: | OpenAIRE |
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