Optimal PID Control of Self-Adapted Ant Colony Algorithm Based on Genetic Gene

Ant colony algorithm is a brand-new type of simulate evolution algorithm, which focus on its solution to assembled optimized question. The author utilizes this algorithm to optimize PID control parameter, but in basic ant colony algorithm, there are some defects of slow convergence speed, easy to get stagnate, and low ability of full search. This paper presents a method of optimized PID control of self-adapted ant colony algorithm based on genetic gene and design out the parameter optimized diagram. This method not only overcome the shortage of ant colony algorithm, but also perfectly realize the optimization of PID control parameter. The result of simulation experiments which compare to the result of Z-N optimization and evolution of genetic algorithm optimization have been greatly improved. The experiments show that this method have its practical value on controlling other objection and process.