颗粒食品包装机热封温度控制系统设计

Design of Heat Sealing Temperature Control System for Granular Food Packaging Machine

颗粒食品包装机热封温控系统是一个非线性、时变性的复杂系统,为提高温控系统控制精度,设计一种基于PLC的热封温度控制系统。介绍系统的组成原理和硬件结构,针对传统的PID控制方法控制精度不高、超调量大等特点,在传统PID控制器中引入BP神经网络和粒子群控制算法,利用神经网络和粒子群的自我学习能力,实现PID控制器参数的在线实时优化。仿真结果表明,该控制方法能够大幅提高温控系统的收敛速度,提高温度控制精度。

The heat seal temperature control system of granular food packaging machine is a nonlinear and time-varying complex system. In order to improve the control accuracy of the temperature control system, a heat seal temperature control system based on PLC is designed. The composition principle and hardware structure of the system are introduced. Aiming at the characteristics of the traditional PID control method, such as low control precision and large overshoot, BP neural network and particle swarm optimization control algorithm are introduced into the traditional PID controller. The self-learning ability of neural network and particle swarm optimization is used to realize the online real-time optimization of PID controller parameters. The simulation results show that the control method can greatly improve the convergence speed of the temperature control system and the temperature control accuracy.