Affiliation:
1. Hunan University of Technology
Abstract
The control demand can not be satified by general PID algorithm because of time-change, nonlinear, uncertainty of controlled parameters in control process of the resistance-heated furnace. Based on regulative fuction of bilogic immune feedback response and characteristic of overhang nonlinear fuction with fuzzy discursion, and combining the advantages of CMAC(Cerebellar Model Articulation Controller), the CMAC-Fuzzy Immune-PID control strategy is applied to temperature control system of the resistance-heated furnace. Simulation study results show that control systems based on this method can attain high quality, is capable of adapting itself to variations of the control object’s parameters, and is featured by strong robustness and self-adaptability.
Publisher
Trans Tech Publications, Ltd.
Reference16 articles.
1. Huailin Shu, and Youguo Pi, PID neural netwrks for time-delay systems, Computers and Chemical Engineering, vol. 28, 2000, pp.859-862.
2. Zhang Weiguo, and Yang Yanzhong, Fuzzy Control Ttheory and Application, edtied by House of N. P. University Publications (2005), China.
3. J.S. Albus, A new approach to manipulator control: the cerebellar model articulation controller (CMAC) , Trans. ASME J. Dyn. Syst. Meas. Contr, 1975, pp.220-227.
4. J.S. Albus, Data storage in the cerebellar model articulation controller (CMAC), Trans. ASME J. Dyn. Syst. Meas. Contr, 1975, pp.228-233.
5. F.G. Harmon, A.A. Frank, and S.S. Joshi, The control of a parallel hybrid-electric propulsion system for a small unmanned aerial vehicle using a CMAC neural network, Neural Networks, vol. 18, 2005, pp.772-780.
Cited by
2 articles.
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