| Autors: Yordanova, S. T., Georgieva A. Title: Genetic Algorithm Based Optimization of Fuzzy Controllers Tuning in Level Control Keywords: fitness function, fuzzy controller tuning,genetic algorithms Abstract: The control of level of liquids in boilers, evaporators, reactors, etc., is especially important as related to energy balance. The plant is nonlinear, inertial, with model uncertainty and difficult to model and control employing classical methods. Fuzzy logic controllers (FLCs) offer an intelligent solution to the control of such plants achieving in a unified and simple way system stability, robustness and good performance. The aim of the research is to develop a procedure for optimization of the tuning of PI and PID FLCs as well as linear controllers using genetic algorithms (GAs) and to prove the improvement of the systems performance. The main results are: 1) a method for off-line multi-criteria optimization of the tuning parameters of FLCs and linear controllers,2) application of the method for level control and 3) performance assessment of the designed systems via simulation. References Issue
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Цитирания (Citation/s):
1. Jurcu M, Pădureanu I, Campian C V, Haţiegan C (2017) Unbalance influence on the rotating assembly dynamics of a hydro. Int. Conf. on Applied Sciences (ICAS2017), IOP Conf. Series: Materials Science and Engineering 294 (2017) 012028 doi:10.1088/1757-899X/294/1/012028 - 2017 - в издания, индексирани в Scopus или Web of Science
2. Pădureanu I, Jurcu M, Campian C V, Haţiegan C (2017) Determination of the performance of the Kaplan hydraulic turbines through simplified procedure. Int. Conf. on Applied Sciences (ICAS2017), IOP Conf. Series: Materials Science and Engineering 294 (2017) 012027 doi:10.1088/1757-899X/294/1/012027 - 2017 - в издания, индексирани в Scopus или Web of Science
Вид: статия в списание, публикация в реферирано издание
