Title :
A Self-Tuning Smith-Neuron Controller for Large Time-Delay System
Author :
Feng, Pan ; Ru-cheng, Han ; Ze-ying, Zhi ; Hong-bing, Lij ; Long, Zuo
Author_Institution :
Coll. of Electron., Taiyuan Univ. of Sci. & Technol.
Abstract :
A Smith predictor (SP) neuron based controller for large time-delay system is proposed in this paper. In this combined method, the neuron is used to self-tune the PID controller so the optimal parameters can be obtained, and the SP is going to compensate the large time-delay that is generally associate with different process. The scheme has been simulated on a plant model. Simulation results demonstrate that the controller has enhanced the response speed and robustness
Keywords :
adaptive control; delay systems; large-scale systems; neurocontrollers; predictive control; self-adjusting systems; three-term control; PID control; Smith predictor; large time-delay system; self-tuning Smith-neuron control; Control systems; Delay effects; Delay systems; Educational institutions; Mathematical model; Neurons; Predictive models; Process control; Shape control; Three-term control;
Conference_Titel :
Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9422-4
DOI :
10.1109/ICNNB.2005.1614775
