Optimal design of proportional–integral controllers for stand-alone solid oxide fuel cell power plant using differential evolution algorithm

摘要: This paper proposes the application of differential evolution (DE) algorithm for optimal tuning proportional–integral (PI) controller designed to improve small signal dynamic response a stand-alone solid oxide fuel cell (SOFC) system. The model study system is derived and considered design as target here track variations in SOFC load current. Two PI controllers are incorporated feedback loops hydrogen oxygen partial pressures with an aim responses. problem formulated minimization eigenvalue based objective function where find out gains such way that discrepancy obtained desired eigenvalues minimized. Eigenvalue time domain simulations presented both open-loop closed loop systems. To test efficacy DE over other optimization tools, results compared those by particle swarm (PSO) invasive weed (IWO) algorithm. Three different types disturbances investigate performances optimizers under sorts variations. Moreover, non-parametric statistical analyses, namely, one sample Kolmogorov–Smirnov (KS) paired t used identify advantage optimizer study. suggest supremacy PSO IWO finding solution.