| Popis: |
In order to create an environment suitable for crop growth, this paper aims at the characteristics of crop growth environment, put forward an improved PID algorithm controller which is based on BP neural network. The controller use BP neural network to improve PID control algorithm, and use this PID algorithm to control the temperature of crop growth. The algorithm is used to simulate the control system by Matlab. The results show that the algorithm not only improves the fastness of step response, but also greatly reduces the overshoot. |
