Researches On Adaptive Fuzzy Neuron Model-Free Control Systems

From the points of view for practical uses, the theory and applications of fuzzy neuronmodel-free control systems are researched in this dissertation. The feasibility and forms ofcombining a fuzzy system and a neuron model-free control system are discussed. The theoryof adaptive fuzzy-neuron model-free control system based on the combination of fuzzy andneuron system is put forward. Simulation experiments are made by comparison with the PIDcontrol, fuzzy control and neuron control. Finally, the examples are made on the electricalheater.The main research work and contributions of this dissertation are as follows:1. A survey of adaptive control, fuzzy control and neuron control is summarized, and theproblems existing in neuron model-free control systems and its integrating with fuzzysystems are also discussed.2. An introduction of the basic principles of the neuron model-free control and the basicdesign methods of the fuzzy controller is given. The iniegrating forms between a fuzzysystem and a neuron model-free control system are investigated and presented fordesigning the fuzzy neuron model-free controllers.3. The adapive fuzzy neuron model-free methods are proposed by the characteristics offuzzy system and neuron system4. The methods of simulation based on numeric integral are introduced. The simulationexperiments are made to the arithmetic of adaptive fuzzy neuron cotrol by MATLAB.Comparisons are made with PID control, fuzzy control and neuron control. And theperformances, the robustness, disturbance-rejection are validated. The simulation testresults with examples show their nice performances, strong robustness and disturbance-rejection. They are designed simply and very convenient to use in practice.5.The control systems of the heater are designed by the adaptive fuzzy neuron controlarithmetic. The step response curve is got. The results show their nice performances.