A Strategy of PID Parameter Tuning Based on Improved GA

A strategy of traditional roulette wheel selection and optimum reserved tactics for iterative optimized tuning of PID parameters was developed in this paper on the foundation of forefather's research.This method can be used to overcome the shortcomings of slow-convergence and easy-premature of simple genetic algorithms(SGA).It makes use of the improved adaptive crossover operator and the adaptive mutation operator,and combines with a kind of fitness function that considers the balance of the performance target and the step-respond process.The simulated results show the genetic algorithm is a simple but efficient optimizing algorithm,a satisfying performance is obtained.