基于改进SA-WOA算法优化热封刀温度控制系统PID参数的研究

套袋机热封刀温度通常采用PID算法进行控制，但是PID控制参数大多由人为经验设定，控制效果不佳.为解决这一问题，本文提出一种改进SA-WOA算法实现PID控制参数的自整定.首先我们利用阶跃响应曲线法建立系统的传递函数模型，再考虑鲸鱼算法以及模拟退火算法的优点，将两者进行结合；然后在此基础上对算法进行改进，提高算法的收敛速度以及优化效果；再将改进后的算法在MATLAB R2017b平台上进行仿真对比实验；最后，将仿真所得控制参数在套袋机上进行实验测试.仿真对比结果表明，相对于继电反馈算法、粒子群算法以及基于模拟退火的改进粒子群算法，本文算法优化所得参数控制效果更好.实测实验结果表明，本文算法所得参数控制效果良好，可以更好地满足实际的需求.

Research on PID parameters optimization of heat sealing knife temperature control system based on improved SA-WOA algorithm

The temperature of the heat-sealing knife of the bagging machine is usually controlled by PID algorithm, but the control effect is not so good since the PID control parameters are mostly set by human experience. To solve this problem, an improved SA-WOA algorithm is proposed to realize the self-tuning of PID control parameters. First, the step response curve method is used to establish the transfer function model of the system, and then the advantages of the whale algorithm and the simulated annealing algorithm are considered, and the two are combined. On this basis, the algorithm is improved to improve the convergence speed and optimization effect of the algorithm. The improved algorithm is simulated and compared on the MATLAB R2017b platform. Finally, the control parameters obtained from the simulation are tested on the bagging machine. The simulation comparison results show that the parameter control effect obtained by the algorithm optimization in this paper is better compared with the relay feedback algorithm, the particle swarm algorithm and the improved particle swarm algorithm based on simulated annealing. The actual test results show that the parameter control effect obtained by the algorithm in this paper is good and can meet the actual demand.