Title :
Intelligent self tuning regulator for on-line tuning of industrial controller using a digital parameter optimization technique
Author :
Brihoum, Mohamed E. ; Farhoud, A.M. ; Ghandakly, Adel A.
Author_Institution :
DeVry Inst. of Technol., Weston, Ont., Canada
Abstract :
An intelligent parallel regulator is proposed for autotuning industrial controllers. The proposed controller uses a fixed parameters controller in parallel with a parametrically optimized adaptive self tuning regulator. A decision block performs the logical and functional paralleling of the two controllers to achieve a desired performance. Example results are presented which show that the proposed technique outperforms the fixed parameters conventional controllers both in dynamic performances and reliability
Keywords :
adaptive control; control system analysis; control system synthesis; industrial control; intelligent control; optimal control; self-adjusting systems; autotuning industrial controllers; control design; control simulation; dynamic performance; fixed parameters controller; intelligent self tuning parallel regulator; parametrically optimized adaptive control; performance; reliability; Adaptive control; Control systems; Design optimization; Digital control; Feedback; Industrial control; Process control; Programmable control; Regulators; Three-term control;
Conference_Titel :
Industry Applications Conference, 1995. Thirtieth IAS Annual Meeting, IAS '95., Conference Record of the 1995 IEEE
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-3008-0
DOI :
10.1109/IAS.1995.530498