원문정보
초록
영어
In control system there are a number of general systems and methods which are encountered in all areas of industry and technology. There are many ways to control any system, in which fuzzy is often the very best way. The only reason is faster and cheaper. One of successful application that is used for the controlling of liquid level is fuzzy logic controller. In order to find the best design to stabilize the liquid level in this method, some factors will be considered. For this paper, the liquid level was controlled by using three rules of membership function which then extended to five rules, seven rules and nine rules for verification purpose and further improvement of the system. This paper was focused to the software part only. By doing some modification in this paper, the design will be very useful for the system relates to liquid level control that widely use in industry nowadays. For a long time, the selection and definition of the parameters of PID controller are very difficult. There must be a bad effect if you do not choose nicely parameters. To strictly limit the overshoot, the use of Fuzzy controller can achieve a great control cause. In this paper, we take the liquid level water tank, and use MATLAB to design a Fuzzy Controller. Then we analyze the control effect and compare it with the effect of PID controller. As a result of comparing, Fuzzy Logic Controller is superior to PID controller. Comparison of the control results from these two systems indicated that the Fuzzy logic controller significantly reduced overshoot and steady state error.
목차
1. Introduction
2. Liquid-tank System
A. Model Equation
B. Working of Liquid Level
3. Designing of Fuzzy Logic Controller
A. FIS Editor
B. Membership Function Editor
4. Simulation Block Diagram
A. Valve
B. Water Tank
C. Controller Block
D. Simulation Model of PID Controller
E. Simulation Model of Fuzzy Logic Controller
5. Simulation Results and Discussion
A. Simulation Result of PID Controller
B. Simulation Result of Fuzzy Logic Controller
C. Discussion
6. Conclusion
7. Future Work
References