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Particle swarm optimization of an iterative learning controller for the single-phase inverter with sinusoidal output voltage waveform
- Source :
- Bulletin of the Polish Academy of Sciences: Technical Sciences. 61:649-660
- Publication Year :
- 2013
- Publisher :
- Polish Academy of Sciences Chancellery, 2013.
-
Abstract
- This paper presents the application of a particle swarm optimization (PSO) to determine iterative learning control (ILC) law gains for an inverter with an LC output filter. Available analytical tuning methods derived for a given type of ILC law are not very straightforward if additional performance requirements of the closed-loop system have to be met. These requirements usually concern the dynamics of a response to a reference signal, the dynamics of a disturbance rejection, the immunity against expected level of system and measurement noise, the robustness to anticipated variations of parameters, etc. An evolutionary optimization approach based on the swarm intelligence is proposed here. It is shown that in the case of the ILC applied to the LC filter, a cost function based on mean squares can produce satisfactory tuning effects. The efficacy of the procedure is illustrated by performing the optimization for various noise levels and various requested dynamics.
- Subjects :
- Engineering
Computer Networks and Communications
business.industry
Iterative learning control
General Engineering
Particle swarm optimization
Control engineering
LC circuit
Swarm intelligence
Atomic and Molecular Physics, and Optics
Artificial Intelligence
Control theory
Robustness (computer science)
Inverter
Waveform
Multi-swarm optimization
business
Information Systems
Subjects
Details
- ISSN :
- 02397528
- Volume :
- 61
- Database :
- OpenAIRE
- Journal :
- Bulletin of the Polish Academy of Sciences: Technical Sciences
- Accession number :
- edsair.doi...........a6c2eba14bbd18f1f94c7753be592676