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Aiming at the disadvantage of slow convergence and low efficiency of genetic algorithm, ant colony algorithm is easy to fall into the local optimal solution. The optimization of PID parameters based on ant colony genetic hybrid algorithm is proposed. At last, in order to prove the effectiveness and feasibility of the algorithm, in the experiment simulation, the ant colony genetic algorithm The hybrid algorithm is compared with the traditional Z-N method and ant colony algorithm, and the conclusion is given at the end of the paper. Keyword: PID control; ant colony algorithm; genetic algorithm; parameter optimization

Optimization of PID Parameters Based on Ant Colony Genetic Hybrid Algorithm