2006Journal of Anhui Vocational College of Metallurgy and TechnologyRequires access

Amalgamation of Two Strategies to Optimize PID Control System Based on MATLAB Simulation

Dai Jian-gu

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Abstract

The paper utilizes the combination of the Nonlinear Control Design(NCD)toolbox and the Optimization Toolbox in MATLAB and the Genetic algorithm to realize the PID controller installation.By this,along with the improving control target of the modern industry,as also considering the weakness and characteristic of each algorithm itself,we can see that,the amalgamation of several kinds of control strategy is potentially necessary to finally achieve the control engineering goal.

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What this paper is about

The paper utilizes the combination of the Nonlinear Control Design(NCD)toolbox and the Optimization Toolbox in MATLAB and the Genetic algorithm to realize the PID controller installation.By this,along with the improving control target of the modern industry,as also considering the weakness and characteristic of each algorithm itself,we can see that,the amalgamation of several kinds of control strategy is potentially necessary to finally achieve the control engineering goal.

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Available abstract

The paper utilizes the combination of the Nonlinear Control Design(NCD)toolbox and the Optimization Toolbox in MATLAB and the Genetic algorithm to realize the PID controller installation.By this,along with the improving control target of the modern industry,as also considering the weakness and characteristic of each algorithm itself,we can see that,the amalgamation of several kinds of control strategy is potentially necessary to finally achieve the control engineering goal.

Key concepts: Toolbox, PID controller, MATLAB, Control engineering, Computer science, Control (management), Controller (irrigation), Nonlinear system

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