Title :
Predictive Fuzzy Control Application
Author :
Paulusova, J. ; Kozak, S.
Author_Institution :
Dept. of Autom. Control Syst., Slovak Univ. of Technol., Bratislava
Abstract :
In this paper a robust predictive fuzzy control (PFC) methods for a nonlinear plant is addressed, proposed and tested. The paper consisting of theoretical and practical parts offers a new approach for intelligent fuzzy robust control design and its successful application. The structure of the fuzzy controller, online model identification and optimal performance index are analyzed, described and verified. The proposed PFC is demonstrated on two examples which one is applied to control of the concentration in the chemical reactor by manipulating its flow rate. The obtained simulation results show that the proposed algorithm is applicable for effective control of highly nonlinear processes that operate over a wide range of working space
Keywords :
fuzzy control; identification; intelligent control; nonlinear control systems; performance index; predictive control; robust control; chemical reactor; flow rate manipulation; fuzzy controller; intelligent control; nonlinear plant system; nonlinear process; online model identification; optimal performance index; predictive fuzzy control; robust control; Chemical reactors; Electrical equipment industry; Fuzzy control; Fuzzy logic; Industrial control; Performance analysis; Predictive control; Process control; Robust control; Three-term control; Fuzzy control; identification; nonlinear systems; predictive control;
Conference_Titel :
Computer as a Tool, 2005. EUROCON 2005.The International Conference on
Conference_Location :
Belgrade
Print_ISBN :
1-4244-0049-X
DOI :
10.1109/EURCON.2005.1629905
