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After this text carries on deep research to the fuzzy controller of routine and PID controller, we know that it is a kind of non-linear controller changed. It has a lot of similarity to PID controller, and then we design a fuzzy PID controller. Fuzzy PID controller is the exactly making of each parameter of the fuzzy controller in the key of comprehensive application that puts in the working range...
Tuning of a pH process is a challenging problem due to the strong on-line non-linearity and extreme sensitivity to disturbances of the process. Hence, a nonlinear control strategy based on sliding mode, which is a standard approach to tackle the parametric and modeling uncertainties of a nonlinear system, is chosen for tuning a pH process. Fuzzy Sliding Mode Control (FSMC) as a robust and intelligent...
Inverted pendulum is a control system, with the feature of high order, muti-variable, non-linearity and unstable naturally. It is quite important for us to study its balance and stability in control engineering field. In this paper, a flywheel inverted pendulum, as an object to be controlled, the dynamic model has been established, and the mathematical model which established has been certificated...
Fuzzy controller shows different responses depending on the size of the linguistic variables. Therefore, the choice of appropriate linguistic variable is an important part of the design of fuzzy controller. However, since fuzzy controller is nonlinear, it is difficult to analyze mathematically the affection of the linguistic variable. In this paper to analyze the effect of linguistic variables, the...
In this paper, a nonlinear control system using a fuzzy self tuning Grey predictor based on a PID controller is proposed. Firstly, the PID controller is designed according to the Zieger-Nichos 2 method with fast response and high robustness. Secondly, the grey predictor is suggested to use to estimate the system response in a near future in order to improve the control performance. In addition, the...
A new kind of excitation control scheme in which the fuzzy control and neural network technique is integrated to the design of the generator nonlinear control is proposed. Based on the theory of the synchronous generator excitation control system, one machine-infinity power system nonlinear mathematical model expressed by state equation is established. A fuzzy RBF (Radial Basis Function) neural network...
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