Design and application of fuzzy immune PID adaptive control based on particle swarm optimization in thermal power plants

The PID controller is the most used controller in the industry thanks to its simplicity and satisfactory performances, unfortunately there is a class of systems that can't achieve satisfactory performances with a simple PID controller as the nonlinear and the delayed systems. These last years, it appeared a lot of innovative control techniques as the bio-inspired methods, one of the most promising of them is the immune PID controller, it is inspired by the immune system regulating mechanism known by its robustness and self-adaptability. In this paper, the immune feedback mechanism and fuzzy inference are incorporated to design a fuzzy immune PID adaptive controller while the particle swarm optimization (PSO) algorithm is used to optimize its parameters. The simulation results using a main steam temperature system as the controlled plant, verify that the strategy has strong adaptability to the transformation of the system parameters and has advantages of a good time performances and robustness ability.