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Iterative performance improvement of fuzzy control systems for three tank systems |
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| Authors: | Radu-Emil Precup Marius L Tomescu Mircea-Bogdan R?dac Emil M Petriu Stefan Preitl Claudia-Adina Drago? |
| Affiliation: | 1. School of Mathematical Sciences, Henan Institute of Science and Technology, Xinxiang 453003, China;2. College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266590, China;3. Department of Computer Science, Brunel University London, Uxbridge, Middlesex UB8 3PH, United Kingdom;4. College of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo 454000, China;5. Faculty of Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia;1. School of Automation Engineering, Northeast Dianli University, Jilin 132012, PR China;2. State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, PR China |
| Abstract: | This paper suggests the performance improvement of fuzzy control systems (FCSs) for three tank systems using iterative feedback tuning (IFT). The stable design of Takagi–Sugeno–Kang fuzzy controllers is guaranteed by means of a stability theorem based on LaSalle’s global invariant set theorem formulated for a class of multi input-multi output (MIMO) nonlinear processes. An IFT algorithm characterized by setting the step size to guarantee the FCS stability is proposed. The theoretical approaches are applied in a case study that deals with the IFT-based stable design of fuzzy controllers dedicated to the level control of a cylindrical three tank system as a representative MIMO system. A set of experimental results for a laboratory setup illustrates the performance improvement. |
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