Optimization of Model Reference Adaptive Controller for the Inverted Pendulum System Using CCPSO and DE Algorithms
| Autor: | Behnam Yazdani Bejarbaneh, Ahmad Bagheri, Salinda Buyamin, Elham Yazdani Bejarbaneh |
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| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
Computer science 020208 electrical & electronic engineering Particle swarm optimization PID controller 02 engineering and technology Inverted pendulum Nonlinear system 020901 industrial engineering & automation Control and Systems Engineering Control theory Position (vector) Differential evolution Signal Processing 0202 electrical engineering electronic engineering information engineering Transient response Algorithm Software |
| Zdroj: | Automatic Control and Computer Sciences. 52:256-267 |
| ISSN: | 1558-108X 0146-4116 |
| DOI: | 10.3103/s0146411618040041 |
| Popis: | The main aim of this paper is to propose two variants of bio-inspired algorithm, Constriction Coefficient Particle Swarm Optimization (CCPSO) and Differential Evolution (DE), which determine optimal parameters of Proportional-Integral-Derivative (PID) controller. To achieve this purpose, the PID controller has been plugged to the Model Reference Adaptive Controller (MRAC) that balances Inverted Pendulum (IP) with nonlinear characteristic in vertical-upright position. For comparison purpose, efficiency of these intelligent approaches to adjust MRAC parameters has been evaluated in terms of time response performance. Finally, the overall simulation results demonstrate that both the algorithms yield acceptable response in controlling the nonlinear model of IP system. However, the performance of DE algorithm is better than CCPSO in terms of transient response characteristics. |
| Databáze: | OpenAIRE |
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