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Fuzzy Control and Its Simulation Research in Liquid Level Control

Author: YaoLiNa
Tutor: SunZhiYi
School: Taiyuan University of Science and Technology
Course: Control Theory and Control Engineering
Keywords: Level object Fuzzy Control Fuzzy PID Control Fuzzy Predictive Control
CLC: TP273.4
Type: Master's thesis
Year: 2008
Downloads: 568
Quote: 4
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Abstract


The level control is one of the typical control in industrial process control , level control industrial processes the early they use PID control method . Conventional PID controller has the advantages of simple algorithm , high reliability , no static and poor . At its core is a parameter tuning , the deterministic controlled object through appropriate tuning PID three parameters , can obtain satisfactory control effect ; For large time delay , time-varying , nonlinear complex systems , more difficult tuning PID parameters , and thus more difficult to achieve the desired results . Fuzzy controller does not depend on the mathematical model of the object , the adaptability of the outstanding advantages , but its steady-state accuracy . To solve this problem , this paper in reference to a large number of domestic and foreign literature based on a combination of fuzzy control and other control methods , to do the simulation study of different types of typical level model . Briefly describes the characteristics and development of fuzzy control , pointed out its limitations ; Then with time , and the large hysteresis level objects , to determine the combination of fuzzy control and PID and fuzzy control , and predictive control combining necessary introduction of these two methods . Second , analysis of the dynamic characteristics of liquid level object , and single- capacity water tank and double- tank water dynamic model derivation . Again , varying parameters PID control algorithm step response curve simulation , the effect is not very satisfactory ; proposed fuzzy adaptive PID control strategies , real-time control process optimization controller parameters , the controller parameters the model parameters match, the better the control level object model parameters change , the simulation results show that the system has better characteristics than the conventional PID . Finally, on the basis of fuzzy predictive control mechanism for large inertia , delay level object , given a combination of fuzzy control and predictive control composite control method . The fuzzy predictive control based on fuzzy control to join the prediction step , to reduce the impact of the time lag by increasing the phase advance , to accurately predict the level trend . Simulation results show that the method has a high steady-state accuracy and dynamic characteristics of the actual level control has better guiding significance .

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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation systems > Automatic control,automatic control system > Fuzzy control, fuzzy control system
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