Title :
PID self-adjustable fuzzy logic MIMO case: Method and application
Author :
Pinto, Maykel B B ; Mota, João Gleidson R ; Almeida, Otacílio M.
Author_Institution :
Dept. of Electr. Eng., Fed. Univ. of Ceara, Fortaleza, Brazil
Abstract :
In this work, a systematic method for self-tuning fuzzy PID control for SISO and MIMO systems is developed with practical application. The procedure consists in fuzzy self-tuning the parameters of a conventional PID controller located in the forward loop of the process. Fuzzy rules are used to determine the set of PID gains, based on the representation of human knowledge on how the margin of gain and phase can be changed for efficiently control a system with guaranteed stability. The proposed control scheme offers advantages over the conventional fuzzy controller, among which we cite: A systematic design is achieved in both SISO and MIMO cases, it only required a basic rule for all loops, the adjustment mechanism is simple and operators can easily understand how it works, it is completely self-adjusted, requiring only one relay feedback experiment Examples of simulation and a practical test are due to evaluate the effectiveness of the proposed control algorithm.
Keywords :
MIMO systems; control system synthesis; fuzzy control; self-adjusting systems; three-term control; PID selfadjustable fuzzy logic rules MIMO case; SISO systems; relay feedback experiment; selftuning fuzzy PID control; Fuzzy sets; Humans; MIMO; Process control; Relays; Systematics; PID control; fuzzy control; multivariable feedback control; nonlinear systems;
Conference_Titel :
Industry Applications (INDUSCON), 2010 9th IEEE/IAS International Conference on
Conference_Location :
Sao Paulo
Print_ISBN :
978-1-4244-8008-1
Electronic_ISBN :
978-1-4244-8009-8
DOI :
10.1109/INDUSCON.2010.5739882