Study on a variable arguments PID controller based on improved Artificial Immune Algorithm

For a class of typical nonlinear plant with time-varying large delay, the conventional PID controller cannot promise precise control, and the Genetic Algorithm(GA) tends to fall into local optimum. In order to overcome the shortage of the traditional immune algorithm, this paper, by analyzing the property of resistance furnace, aims to improve several special formulas, such as antibody fitness, expected reproduction probability and selected probability. Based on the improved Artificial Immune Algorithm with the elitism reservation and elitism crossover strategy(AIAE), a variable arguments PID controller is proposed. The simulation results show that, compared with the normal variable arguments PID controller and the variable arguments PID controller based on GA, the variable arguments PID controller based on AIAE has good performance and much practical value because of the advantages of higher precision, stronger stability and greater robustness.