Optimization Settings in the Fuzzy Combined Mamdani PID Controller

• Published in: Journal of physics. Conference series Vol. 891; no. 1; pp. 12294 - 12299
• Main Authors: Kudinov, Y I, Pashchenko, F F, Pashchenko, A F, Kelina, A Y, Kolesnikov, V A
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 10.11.2017
• Subjects: Coefficients; Controllers; Fuzzy control; Nonlinear control; Optimization; Physics; Proportional integral derivative; Search algorithms
• ISSN: 1742-6588; 1742-6596
• DOI: 10.1088/1742-6596/891/1/012294

In the present work the actual problem of determining the optimal settings of fuzzy parallel proportional-integral-derivative (PID) controller is considered to control nonlinear plants that is not always possible to perform with classical linear PID controllers. In contrast to the linear fuzzy PID controllers there are no analytical methods of settings calculation. In this paper, we develop a numerical optimization approach to determining the coefficients of a fuzzy PID controller. Decomposition method of optimization is proposed, the essence of which was as follows. All homogeneous coefficients were distributed to the relevant groups, for example, three error coefficients, the three coefficients of the changes of errors and the three coefficients of the outputs P, I and D components. Consistently in each of such groups the search algorithm was selected that has determined the coefficients under which we receive the schedule of the transition process satisfying all the applicable constraints. Thus, with the help of Matlab and Simulink in a reasonable time were found the factors of a fuzzy PID controller, which meet the accepted limitations on the transition process.