Title :
Intelligent control of a boiler-turbine plant based on switching control scheme
Author :
Shinohara, Wataro ; Koditschek, D.E.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
Abstract :
This paper reports on our present achievement toward the intelligent control of a boiler-turbine power-plant based on switching control scheme, recently revived by some active reports. To overcome strong nonlinearity emerging in load following operations of boiler-turbine power plants, which is not efficiently compensated by the conventional PI-based gain scheduling control, a neural-based nonlinear feedforward switching control scheme is employed. Owing to its 2-degree freedom type instalment in the control system and proper switching of nonlinear feedforward control by monitoring contribution of inverse dynamics error to control error, effective suppression of nonlinearity is achieved
Keywords :
adaptive control; boilers; discrete time systems; feedforward neural nets; intelligent control; neurocontrollers; nonlinear control systems; thermal power stations; SISO systems; adaptive neural control; boiler-turbine plant; intelligent control; inverse dynamics error; load following operations; neural feedforward structure; neural networks; nonlinear discrete time system; nonlinear feedforward switching control; nonlinearity; switching control; Adaptive control; Control systems; Error correction; Intelligent control; Neural networks; Nonlinear control systems; Nonlinear dynamical systems; Power generation; Programmable control; Scheduling;
Conference_Titel :
Decision and Control, 1995., Proceedings of the 34th IEEE Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-2685-7
DOI :
10.1109/CDC.1995.480395
