基于INOA算法的塑料激光焊接熔深控制

Penetration Depth Control of Plastic Laser Welding Based on INOA Algorithm

摘要: 针对熔深控制系统非线性、滞后性的特点，本文引入FOPID控制器和预测算法DMC进行控制，同时采用改进星鸦算法对控制器参数进行迭代寻优，以解决参数整定不合理导致的控制性能不佳、超调量过大、耗时过长等问题。星鸦算法的改进主要包括两个方面：一是针对初始种群多样性不足的缺陷，采用拉丁超立方抽样的方法，保障初始种群在解空间内的分布多样性；二是针对算法容易陷入局部最优的问题，在探索与开发阶段引入全局引导机制，提升算法全局寻优性能。仿真结果表明，INOA-DMC-FOPID预测控制策略可以有效提高控制效果，能够满足焊接实际生产要求，具备一定的工程实用性。

Abstract: In view of the nonlinear and time-delay characteristics of the weld penetration control system, this paper introduces a Fractional Order PID controller and the Dynamic Matrix Control prediction algorithm for system control. Meanwhile, an improved Nutcracker Optimization Algorithm is adopted to carry out iterative optimization of the controller parameters, so as to solve the problems including poor control performance, excessive overshoot, and long settling time caused by improper parameter tuning. The improvements of the NOA mainly include two aspects: First, aiming at the defect of insufficient diversity of the initial population, Latin Hypercube Sampling is used to ensure the uniform and diverse distribution of the initial population in the solution space. Second, to address the problem that the algorithm is prone to fall into local optimum, a global guidance mechanism is introduced in the exploration and exploitation phases to enhance the global optimization performance of the algorithm. The simulation results show that the proposed INOA-DMC-FOPID predictive control strategy can effectively improve the control performance, meet the actual requirements of welding production, and has certain engineering practicability.