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The Application of Fuzzy Predictive Control to AGC System in Communication Network
Author: LiuJunJun
Tutor: HouGuoLian
School: North China Electric Power University (Beijing)
Course: Control Theory and Control Engineering
Keywords: Automatic Generation Control Networked Control Systems Deregulation Fuzzy T-S model Generalized Predictive Control Buffer
CLC: TP273
Type: Master's thesis
Year: 2011
Downloads: 74
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Abstract
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Deregulation mode , the automatic generation of networked control systems (NAGC) will face more sudden , large amplitude load disturbance , this article in full consideration of the nonlinear system and communication network random delay and packet loss and other issues , a predictive control method based on TS model fuzzy . Under the influence of the non-linear aspects of large capacity units frequently switch control action causes the system to produce too large overshoot and excessive regulation of the time , the traditional linear model is not sufficient to describe the dynamics of the system . At the same time , the lifting of the regulatory environment of network the AGC system due to the introduction of a communication network , so there are random delay and packet loss problems . Above nonlinear and delay in the the traditional AGC system model based on the establishment of TS fuzzy model of the nonlinear part of the valve , the nonlinear system into a series of linear weighted superposition both accurate description of the nonlinear system , but also to facilitate the control of linear systems theory and policy is applied to the controller design . Second, for network delay problem , this paper using the generalized predictive control method to predict the amount of control , plus the amount of control of the buffer storage predicted before the actuator to compensate for the delay and packet loss performance of AGC system control . Finally, the method of combining fuzzy TS modeling and generalized predictive control applied to a consideration of the valves nonlinear, time delay , and distribution companies to participate in the two regions of the matrix (DPM) AGC system simulation . The results show that the fuzzy predictive control method can quickly make the system frequency , tie-line power and area control error recovery to a steady-state value , better stability , speed and accuracy .
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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation systems > Automatic control,automatic control system
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