Computação evolucionária em identificação e controle de processos: fundamentos, análise e aplicações
In this paper several evolutionary computation paradigms in process identification and control are utilized. The following methodologies are addressed: i) genetic algorithms (with floating point representation), ii) hybrid algorithms composed by genetic algorithms with simulated annealing, and iii)...
Guardado en:
| Autores principales: | , |
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| Formato: | Objeto de conferencia |
| Lenguaje: | Portugués |
| Publicado: |
1997
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| Materias: | |
| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/24061 |
| Aporte de: |
| Sumario: | In this paper several evolutionary computation paradigms in process identification and control are utilized. The following methodologies are addressed: i) genetic algorithms (with floating point representation), ii) hybrid algorithms composed by genetic algorithms with simulated annealing, and iii) evolution strategies (without and with self-adaptation mechanisms). Experiments in identification were conducted in mono-tank level and temperature processes. Experimental tests in control are conducted in order to find the design parameter of the PID control when controlling a non-linear level process, composed of coupled twin-tanks, which are submitted to reference change and load disturbance, and steering a trailer truck while backing up to a loading dock. |
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