Title :
Fuzzy controller with neuron self-tuning parameters
Author :
Yang, Guang ; Wang, Ning
Author_Institution :
Nat. Key Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou, China
Abstract :
The fuzzy control method with neuron tuning fuzzification factors is proposed for plants with uncertainties in this paper. In order to enhance the robustness of the control system, the adaptive neuron is used to tune the fuzzification factors of the fuzzy controller when the characteristics of the plant change. The simulation experiments of application of the proposed method for controlling a ship changeable pitch propeller are made. The results demonstrate that this fuzzy control method achieves the desired performance.
Keywords :
adaptive control; fuzzy control; fuzzy set theory; neurocontrollers; robust control; self-adjusting systems; ships; adaptive neuron tuning; fuzzy controller; neuron self tuning parameters; neuron tuning fuzzification factors; robustness; ship changeable pitch propeller; Adaptive control; Adaptive systems; Control systems; Fuzzy control; Fuzzy systems; Neurons; Programmable control; Robust control; Tuning; Uncertainty;
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
DOI :
10.1109/WCICA.2004.1342043
