Abstract
We propose a self-tuning fuzzy PI controller (STFPIC) for pure integrating process with dead time (IPD) whose output scaling factor (SF) is continuously adjusted in each sampling instant by a non-fuzzy gain modifying factor γ, which is defined on the normalized error and change of error of the controlled variable and the number of their uniform fuzzy partitions. Performance of the proposed controller is studied for a pure integrating process with dead-time under both set-point change and load disturbance. Performance comparisons with other FLCs are provided in terms of various performance indices along with transient responses. Simulated results justify the effectiveness of the proposed STFPIC.
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Simhachalam, D., Mudi, R.K. (2014). A Self-tuning Fuzzy PI Controller for Pure Integrating Processes. In: Satapathy, S., Udgata, S., Biswal, B. (eds) Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2013. Advances in Intelligent Systems and Computing, vol 247. Springer, Cham. https://doi.org/10.1007/978-3-319-02931-3_4
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DOI: https://doi.org/10.1007/978-3-319-02931-3_4
Publisher Name: Springer, Cham
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