Introduce a generalized predictive control method based on ant colony algorithm and the method can more effectively control the object of big inertia and delay.The method by making the control method combined with parameters optimization algorithm .The method has simple structure and easy to realize in the computer,broking the conventional PID control strategy and improving algorithm.The simulation shows that improved algorithm can quickly and accurately track the set value and shorten the time of adjustment.The control effect is superior to the conventional Generalized Predictive Control based on ant colony algorithm.%介绍了一种针对于大惯性大迟延对象控制效果更好的基于蚁群算法的广义预测控制。该方法是通过将控制方法与参数优化算法相结合的方式，结构简单，在计算机中容易实现，打破了常规的PID控制策略，在此基础上又对算法进行了改进。通过仿真可知该改进算法能够快速准确地跟踪设定值，缩短了调节时间，获得了优于常规基于蚁群算法的广义预测的控制效果。
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