Optimal Constrained Tuning of PI-Controllers via a New PSO-Based Technique

Yuriy Romasevych, Viatcheslav Loveikin and Valeriy Makarets
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Yuriy Romasevych: National University of Life and Environmental Sciences of Ukraine, Ukraine
Viatcheslav Loveikin: National University of Life and Environmental Sciences of Ukraine, Ukraine
Valeriy Makarets: National University of Life and Environmental Sciences of Ukraine, Ukraine

International Journal of Swarm Intelligence Research (IJSIR), 2020, vol. 11, issue 4, 87-105

Abstract: A modified method of particle swarm optimization (PSO) has been developed in the article. It is based on a diversity mechanism (DM), which greatly improves optimization method efficiency. In order to show the enhanced PSO modification, a comparative analysis was conducted. It is based on two proposed criteria and time of the algorithms' execution. The modified method was applied to the problem of constrained optimization of PI-controller tuning. A new criterion was developed with pit-in-pit topology, which includes stability requirement, a set of inequalities (constrains), and a set of optimization criteria to minimize. It allows reducing the initial problem to the problem of unconstrained optimization. The efficiency of the approach is confirmed with four problems of PI-controller tuning.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jsir00:v:11:y:2020:i:4:p:87-105

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