BP neural network PID temperature control of beer fermentation tank

The temperature control of beer fermentation has many features, such as great inertia, time delay, non-linear, time-variant. The effect of traditional PID is poor. In order to improve control effect, this paper proposes a BP neural network PID control algorithm. By add momentum to reduces vibration time and accelerates the convergence of the neural network. Adjusts PID parameters online by optimized BP neural network, it solves the problems of slow response and large overshoot of traditional PID control method. And control the temperature of beer fermentation tank by PID controller. Finally, the simulation that using MATLAB for beer fermentation tank proved this controller has real-time performance, small overshoot, robustness, rapid response speed and other advantages.