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| Performance Analysis and Online Fuzzy Self-Tuning of RTD-A Controller’s Parameters |
| CHU Ji-Zheng, DU Bin, CHEN Juan |
| (College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China) |
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Abstract To reduce the difficulty of the RDT-A controller’s parameters tuning and enhance its utility, the effect of its four parameters（θR， θT， θD， θA）on system performance was analyzed. The result shows that it has rare influence on the system performance when θA and θT are set value, and the model mismatch and disturbances are improved after tuning of θR and θD. On this basis, an online autotuning method based on fuzzy logic was proposed for the parameters of the RTD-A controller. Fuzzy control rules of controller parameters were firstly established in this method, and then fuzzy reasoning was carried out according to the fuzzy control rules, and parameters θD and θA of fuzzy self-turning online were implemented. The simulated results show that the controller’s performance is evidently improved with the proposed parameter autotuning method, and compared with manual operation, the controller tuning is greatly simplified.
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Received: 22 April 2011
Published: 30 August 2011
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