Title :
A tuning method of nonlinear PI controllers by using RBFN
Author :
Uchikata, Akimasa ; Ohnishi, Yoshihiro
Author_Institution :
Dept. of Mech. Electr. Eng., Kure Nat. Coll. of Technol., Kure
Abstract :
The nonlinear PI parameter adjustment method by RBFN was considered in this research. When the decision of the parameter of the controlled object with a nonlinear characteristic changed the target value by doing by RBFN, an excellent result was obtained. The adjustment method of the intermediate value of the hidden layer of this RBFN is scheduled to be considered in the future.
Keywords :
PI control; control system synthesis; neurocontrollers; nonlinear control systems; radial basis function networks; RBFN; nonlinear PI controller; nonlinear PI parameter adjustment; radial base function network; tuning method; Control systems; Control theory; Educational institutions; Equations; Neural networks; Nonlinear control systems; Pi control; Process control; Three-term control; Uncertainty;
Conference_Titel :
Networking, Sensing and Control, 2009. ICNSC '09. International Conference on
Conference_Location :
Okayama
Print_ISBN :
978-1-4244-3491-6
Electronic_ISBN :
978-1-4244-3492-3
DOI :
10.1109/ICNSC.2009.4919369