Title :
The Study of CONN-PID Hybrid Controller
Author_Institution :
Phys. Sch., Huazhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
CONN (Compound Orthogonal Neural Network)-PID hybrid controller whose advantages have been highlighted amid hybrid control systems gradually is characterized by simple topology structure, high control accuracy, good real-time control ability and strong robust-ability. Aiming at its significant meaning in application, this article attempts to gain an insight into this new intelligent control system and evaluate this new controller by simulation. It also summarizes the factors which may affect its performance in the end.
Keywords :
neurocontrollers; robust control; three-term control; CONN-PID hybrid controller; compound orthogonal neural network; hybrid control system; intelligent control system; real-time control; robust control; topology structure; Artificial intelligence; Artificial neural networks; Chebyshev approximation; Control systems; Network topology; Neural networks; Polynomials; Robot control; Size control; Three-term control; CONN-PID controller; brushless DC motor; hybrid controller; robot arm control;
Conference_Titel :
Hybrid Intelligent Systems, 2009. HIS '09. Ninth International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-0-7695-3745-0
DOI :
10.1109/HIS.2009.171
