Application of optimization algorithms to adaptive motion control for repetitive process
| Autor: | Lech M. Grzesiak, Rafal Szczepanski, Tomasz Tarczewski |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Continuous optimization
0209 industrial biotechnology Electronic speed control Computer science Applied Mathematics 020208 electrical & electronic engineering Process (computing) 02 engineering and technology Moment of inertia Motion control Computer Science Applications 020901 industrial engineering & automation Control and Systems Engineering Control theory Full state feedback 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Adaptation (computer science) Instrumentation |
| Zdroj: | ISA transactions. 115 |
| ISSN: | 1879-2022 |
| Popis: | The application of optimization algorithms to adaptive motion control is proposed in this paper. In order to provide optimal system response, optimization algorithm is used as adjustment mechanism of controller coefficients. Most of optimization algorithms are not able to work in continuous optimization mode and with non-constant search space (i.e. dataset). For this reason, the introduction of a novel approach, Adaptive Procedure for Optimization Algorithms (APOA), that allows to apply most of optimization algorithms to adaptation process seems to be necessary. Such an algorithm is innovative, due to its universality in terms of applied optimization algorithm. Its application allows to obtain optimal motion control in modern electric drives. The proposed APOA is presented together with the novel desired-response adaptive system (DRAS) approach for repetitive processes. This solution provides unchanged system response regardless of plant parameters variation or external disturbances. The developed adaptive approach based on optimization algorithm is implemented in permanent magnet synchronous motor (PMSM) drive to adapt state feedback speed controller during moment of inertia variations. Since the proposed DRAS is model-free approach, the adaptation procedure is immune to issues related to plant parameters mismatch. The obtained results prove that proposed adaptive speed controller for PMSM assures desired system response regardless of the moment of inertia variation. |
| Databáze: | OpenAIRE |
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