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Research and Application Based on Identification Method of Single-Variable Process and Internal Model Control

Author: SunXiaoTian
Tutor: JinQiBing
School: Beijing University of Chemical Technology
Course: Control Science and Engineering
Keywords: IMC PSO - Powell Internal model decoupling Response is not standardized IMC-PID
CLC: TP273
Type: Master's thesis
Year: 2010
Downloads: 102
Quote: 1
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Abstract


With the development of society and advances in technology , industrial automation more and more attention . Coupling and delay phenomenon prevalent in industrial production , the traditional PID control no longer meet the production requirements of high-precision , more and more scholars began to Advanced Control and Intelligent control applications in production . The internal model control since the introduction of its simple control mode and good control effect has been widely used in industrial production . The method for improving economic efficiency, reduce energy consumption, operation reflects the good application effect in the card edge . First learn the basic theory of traditional internal model control and decoupling control , mainly analyzes the conventional decoupling theory of decoupling the physical decoupling can be realized , based on steady-state analysis and error analysis of the internal model decoupling the method, based on the design of the internal model decoupling controller , the effective realization of the purpose of decoupling , while effectively inherited the internal model control robustness of the method is simple to implement , the simulation results show the effectiveness of the method . Secondly, learning NLJ least squares , the PSO identification method based on , how to improve the iteration accuracy , robustness enhanced identification parameters , to avoid falling into local optimum , the PSO - Powell identification algorithm . Using this method to identify the non-linear model , to achieve better recognition results , identify three common stirred tank simulation model based on the identification internal model controller , and achieved good control performance and control accuracy. Then pin conventional identification method on the initial non- steady-state , non- steady-state final value , the response is inadequate , the presence of noise , there is a disturbance response is not standardized case , it is difficult to get accurate identification model using the internal model principle , based on the PSO - Powell the method to obtain a more accurate model parameters . The simulation results demonstrate the effectiveness of this method . Finally, the actual industrial production , the IMC-PID and PSO - Powell identification method in use in the the Yangzi , South Yanshan device parameter optimization and tuning project , to achieve the energy saving effect , and effectively improve the self-control of the device , reduce the labor intensity , and received a good economic and social benefits .

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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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