A Study of the Immune Evolutionary Algorithm-based Self-tuning PID Control of Superheated Steam Temperature

In accordance with biological immune-system characteristics the authors have come up with a method of self-tuning PID controller parameters on the basis of an immune evolutionary algorithm. The immune evolutionary algorithm has introduced memory cells and features diversity and an anti-body concentration regulation mechanism, ensuring a rapid and stable convergence to attain an overall optimal point. A simulation of the superheated steam temperature control system has demonstrated the validity of the recommended algorithm.