锻压技术

热轧带钢层流冷却的精冷段Smith PSO-BP-PID反馈控制

英文标题：Smith PSO-BP-PID feedback control on fine cold section for laminar cooling of hot rolled strip steel

作者：任长辉田海陶震张健雷思捷

关键词：Smith预估补偿 PID BP-PID PSO-BP-PID Smith PSO-BP-PID

分类号：TG335.5

出版年,卷(期):页码：2023,48(12):177-181

摘要：

为了实现对带钢卷取温度的精确控制，采用以神经网络的前馈控制为主、反馈控制为辅的复合控制策略。层流冷却的精冷段属于大滞后、非线性系统，针对大滞后问题提出使用Smith预估器进行补偿；针对非线性问题，采用多种手段优化的PID控制器，加强其控制的实时性与动态性能。通过BP神经网络对PID控制器进行参数寻优，使用粒子群优化算法对BP神经网络的初始权值和阈值进行优化，并采用改进的粒子群算法来提高其迭代收敛速度。最后，经过仿真验证了Smith PSO-BP-PID的超调量最小，调节时间最短，动态性能最好。

In order to achieve the accurate control of strip steel coiling temperature, a compound control strategy was adopted, which was based on the feedforward control of neural network and supplemented by the feedback control. The fine cooling section of laminar flow cooling was a nonlinear system with large lag, and Smith estimator was proposed to compensate for the problem of large lag. Aiming at the nonlinear problem, the PID controller optimized by various means was used to enhance the real-time and dynamic performance of its control. Furthermore, BP neural network was proposed to optimize the parameters of PID controller, and the particle swarm optimization algorithm was used to optimize the initial weights and thresholds of BP newral network,and the improved particle swarm algorithm was adopted to improve its iterative convergence speed. Finally, the simulation verifies that Smith PSO-BP-PID has the smallest overshoot, the shortest adjustment time and the best dynamic performance.

基金项目：

内蒙古自治区自然科学基金资助项目（2022MS06005）

作者简介：任长辉（1998-），男，硕士研究生 E-mail：2539018956@qq.com 通信作者：田海（1968-），男，硕士，副教授 E-mail：tian680125@163.com

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