Controller Optimization for Boiler Turbine Using Simulated Annealing and Genetic Algorithm

The present work takes up the boiler turbine process for control system design and its optimization. The control system is designed and optimized, to exhibit the best control performance, using two different optimization techniques, called simulated annealing (SA) and genetic algorithm (GA). Their control performance is also compared with that of controller designed, for the same process, using Ziegler–Nichol (ZN) technique. All the simulations have been done on MATLAB software.