Heat exchanger control method based on improved iterative learning

The invention relates to the technical field of heat exchanger control methods, in particular to a heat exchanger control method based on improved iterative learning, which comprises the following steps of: generating optimal control input by continuously updating iteration by utilizing temperature errors generated by a heat exchanger in previous iterations and temperature errors obtained in the iteration; therefore, it is guaranteed that the temperature of the heat exchanger is controlled within an ideal reference range, and meanwhile the convergence speed is increased on the premise that system tracking errors are reduced. 本发明涉及热交换器控制方法技术领域，特别涉及一种基于改进型迭代学习的热交换器控制方法，利用热交换器在前几次迭代产生的温度误差与本次迭代中获取的温度误差，通过不断地更新迭代产生最优的控制输入，从而保证热交换器的温度控制在理想参考范围之内，同时在减少系统跟踪误差的前提下加快收敛速度。