Title :
A CMAC Based Self-Tuning Intelligent PID Controller for Electric Load Simulator
Author :
Han Huatao ; Yang Bo
Author_Institution :
Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China
Abstract :
With the advantages of quick learning, simple structure, nonexistent local optimum and good real-time performance, the Cerebella Model Articulation Controller (CMAC) has been widely used in the control of nonlinear systems. In this paper, the genetic algorithm is used to identify uncertain parameters of electric load simulator to improve the credibility of the mathematical model. Then a CMAC-based self-tuning intelligent PID controller is proposed for electric load simulators. The simulation and experimental results demonstrate that the proposed intelligent PID controller has good robustness and can effectively eliminate the surplus torque with high control precision.
Keywords :
cerebellar model arithmetic computers; control nonlinearities; control system analysis; genetic algorithms; intelligent control; nonlinear systems; self-adjusting systems; three-term control; torque; CMAC; cerebella model articulation controller; control precision; electric load simulator; genetic algorithm; mathematical model; nonlinear systems; self-tuning intelligent PID controller; surplus torque elimination; Brushless DC motors; Load modeling; Loading; Mathematical model; Torque; Cerebellar Model Articulation Controller (CMAC); Electric load simulator; Parameter identification; Self-tuning PID controller;
Conference_Titel :
Instrumentation, Measurement, Computer, Communication and Control (IMCCC), 2013 Third International Conference on
Conference_Location :
Shenyang
DOI :
10.1109/IMCCC.2013.322
