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| Two-degree-of-freedom IMC Design Based on PSO Algorithm for Large Time Delay Process |
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| DOI：10.11981/j.issn.1000-6842.2018.03.43 |
| Key Words:large time delay process; two-degree-of-freedom IMC; PSO algorithm; filtering time constant optimization |
| Fund Project:陕西省科技统筹创新工程计划项目（No.2012KTCQ01-19）；陕西省重点科技创新团队计划项目（No.2014KCT-15）。 |
| Author Name | Affiliation | | TANG Wei1，2，* | 1.Industrial Automation Institute， Shaanxi University of Science and Technology， Xi’an， Shaanxi Province， 710021
2. College of Electric and Information Engineering， Shaanxi University of Science and Technology， Xi’an， Shaanxi Province， 710021 | | YUAN Zhi-min2 | 2. College of Electric and Information Engineering， Shaanxi University of Science and Technology， Xi’an， Shaanxi Province， 710021 | | DANG Shi-hong2 | 2. College of Electric and Information Engineering， Shaanxi University of Science and Technology， Xi’an， Shaanxi Province， 710021 |
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| Abstract: |
| With the aid of two controller design technique and particle swarm optimization(PSO） algorithm， a two-degree-of-freedom(TDF） internal model control(IMC） method based on PSO algorithm was proposed， which was suitable for large time delay process. The basic idea of this method was illustrated as follows: taking integral time absolute error(ITAE） as target function， the TDF-IMC filtering time constants were optimized by PSO algorithm. It was indicated by MATLAB simulation results that the proposed TDF-IMC method based on PSO algorithm had such advantages as simplicity for algorithm， fast searching speed and high efficiency， which could improve the setpoint tracking performance and robustness of the TDF-IMC system. |
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