Design of Differential Evolution Optimized PI Controller for a Temperature Process

Autores/as

  • Veena V. Dev
  • B. Nagaraj

Palabras clave:

Evolutionary algorithm (EA), differential evolution (DE), PID controller tuning, Zeigler-Nichols (Z-N), initial steady state (ISS), temperature process, optimization

Resumen

Differential evolution is a new stochastic population-based optimization algorithm. It is an accurate, fast and robust optimization method. In this paper, a PI controller is used and differential evolution optimization technique is used to optimize the controller parameters. The robust controller parameters are obtained by solving the optimization problem, which consists of objective functions and constraints, using differential evolution method. Here differential evolution is implemented in tuning of a PI controller for a temperature process. The performance of the optimized PI controller is compared with that of the Zeigler-Nichols method and the simulation results show the improved performance of the optimized controller.

Biografía del autor/a

  • Veena V. Dev
    department of electronics and instrumentation, karunya university
  • B. Nagaraj
    professor, department of electronics and instrumentation, karunya university

Descargas

Publicado

2013-02-23

Número

Vol. 3 Núm. 3 (2012)

Sección

Research Articles

Licencia

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