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Through the analysis of the multi variables, nonlinear and strong coupling system of two AC induction motors, this paper designs a fuzzy PID controller that the structure is simple and the application is easy. The fuzzy control does not require a precise mathematical modeling of the system nor complex computations. It only relies on the human capability to understand the system's behavior and is based...
Analytical structure of fuzzy controller has recovered two important issues: why fuzzy controller is useful in application and what relationships are there between fuzzy controller and the most used PID controller. But these existing outcomes are uniformly studied under the conditions that all fuzzy rules are taken the same fuzzy membership degrees. This is not real in some applications since some...
This paper introduces an effective approach about the self-adaptive fuzzy PID control and fuzzy control. Apply the control method in Googol's GLIP2003 one rod linear inverted pendulum and the implementary results sufficiently demonstrates its validity and realizes the effective control for the pendulum angle and the cart's displacement of one stage inverted pendulum.
In this study, interval type2 fuzzy logic (IT2FL) and PID controller is designed for swing-up position control of double inverted pendulum (DIP) system. The double inverted pendulum system consists of two rigid bars connected by a revolute joint. Mass of the revolute joint is included in the dynamic model.Rigid bars in the system are assumed to experience planar motion. The pendulum system is connected...
This paper presents the design of fuzzy PI+D controller and fuzzy PID controller for nonlinear systems using 'Gaussian' membership functions. The fuzzy controllers are derived from their conventional continuous time domain controllers. The controllers are developed by first discretizing the controllers' laws and then progressively deriving the steps necessary to incorporate a fuzzy logic control mechanism...
A gain-scheduling control scheme produces a nonlinear global controller from a series of local controllers tuned at specific operation points. A major problem on the design of gain scheduling controllers is the design and implementation of the switching logic to have a smooth plant response all over the operation range. This point is solved with the application of fuzzy logic, which maintains advantages...
While classical PID controllers are sensitive to variations in the system parameters, fuzzy controllers do not need precise information about the system variables in order to be effective. However, PID controllers are better able to control and minimize the steady state error of the system. Hybridization of these two controller structures comes to one mind immediately to exploit the beneficial sides...
In this paper a simple adaptive predictive fuzzy logic controller is developed for the attitude control of a micro-satellite; its performance is compared with a PID controller. PID controller is the most widely used among the conventional controllers. The gain of proportional, integral and derivative control has to be tuned and fixed throughout the control simulation. APFLC is introduced in order...
The tank system is a typical system model, which is abstracted from water level system in industry field. Generally it has the characters of time lags, non-linearity and difficult to making model building etc. For these reasons, traditional PID control sometimes canpsilat obtain content effects. This paper mostly adopts fuzzy controller and fuzzy-PID controller to control tank system. By comparing...
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