Abstract
This paper is concerned with Iterative Feedback Tuning (IFT) for Two-degree-of- freedom (2-DOF) system. The IFT is a data-driven method for tuning controller parameters, which uses the closed-loop system input-output data directly, and without establishing a mathematical model for the controlled system. The design of control system is a multi-objective problem, so a 2-DOF control system naturally has advantages over a one-degree-of- freedom (1-DOF) control system. When tuning 2-DOF system controllers, two-step method is firstly concerned. While in this paper, the application of IFT method in a 2-DOF control system is studied, which can make controllers’ parameters tuned at the same time, and the IFT method is more accurate and efficient in tracking performance and robustness. The feasibility and effectiveness of the method are verified by numerical simulation and comparison.
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This work is supported by Shanghai Key Laboratory of Power Station Automation Technology (No.13DZ2273800).
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Pan, H., Zhang, Y., Wang, L. (2018). Iterative Feedback Tuning for Two-Degree-of-Freedom System. In: Li, K., Fei, M., Du, D., Yang, Z., Yang, D. (eds) Intelligent Computing and Internet of Things. ICSEE IMIOT 2018 2018. Communications in Computer and Information Science, vol 924. Springer, Singapore. https://doi.org/10.1007/978-981-13-2384-3_34
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DOI: https://doi.org/10.1007/978-981-13-2384-3_34
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