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Research on the Method of Iterative Learning Control of Industrial Air-Conditioning System

Author: ZhouHaiXia
Tutor: WuAiGuo
School: Tianjin University
Course: Control Theory and Control Engineering
Keywords: Open-loop Open closed loop Iterative Learning Control Weights Self-correction Textile mills Process Air Conditioning
CLC: TM925.12
Type: Master's thesis
Year: 2009
Downloads: 19
Quote: 1
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Abstract


With the development of the textile industry, textile products rising quality requirements, the production environment of the textile mills proposed higher requirements. The traditional process air conditioning control method, is not largely dependent on the charged object precise mathematical model, that is, the structure is complicated, the precision is not high, poor robustness, slow response, can not meet the environmental factors such as temperature and humidity higher The quality control. The adverse effects caused by the uncertainty in order to reduce the transition, to meet the high precision, robustness and fast requirements, better improve dynamic quality, repeatability characteristics of the production process for textile mills, process air conditioning system iterative learning control algorithm. This paper first describes the background and significance of the study of the the nonlinear air conditioning system and the development status of iterative learning control, pointed out that the precise mathematical model of iterative learning control advantages to solve nonlinear problems: that is, it does not depend on the control system, be able to a very simple way to deal with uncertainty, strong coupling, nonlinear complex systems, to achieve complete tracking performance, simple structure, applicability, and easy to implement. Further analysis of the characteristics of the textile mill process air conditioning system, it is a continuous system. Characteristics for process air conditioning, the first open-loop PD-type iterative learning control algorithm to control the system, for open loop iterative learning control algorithm using only previous running of the system, control the effect is not perfect lack proposes a new open closed loop iterative learning control algorithm. PDD-type iterative learning law a new algorithm to switch, thus more running information prior to the use of the system, to achieve a more complete tracking performance; introduction of closed-loop control on the basis of the open-loop system calm task; open closed loop The value of the right to self-correction in accordance with the rules of learning the system error change, the convergence radius tends to zero more quickly, accelerate the learning speed. Matlab software platform New open closed loop iterative learning control algorithm has faster learning, by SIMULINK simulation experiments also proved more stable system output and better robust performance disturbances reached on Fast and Accurate control system. Iterative learning control algorithm in the process air conditioning control system has a good prospect of application of iterative learning control algorithm has theoretical significance and practical value.

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CLC: > Industrial Technology > Electrotechnical > Electrification,electrical energy application > Household appliances and other electrical equipment > Air conditioning appliances > Air conditioner
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