遗传算法优化模糊PID的管内液压校圆机构控制研究

Research on the in-pipe hydraulic rounding mechanism control based on the optimized fuzzy-PID genetic algorithm

管件的椭圆度对于焊接质量和效率有着巨大影响,并且影响管件的残余应力分布,进而影响使用寿命。因此,需要设计一种体积小巧、适用于一定尺寸范围的集成式管内校圆机构,故提出一种管内液压校圆机构。为了提高管内液压校圆系统的控制精度,采用遗传算法优化模糊PID的控制方法。由于在校圆过程中需要多缸同时运动,采用误差补偿多缸同步控制方法。仿真结果表明:优化后模糊PID控制器相比于传统PID及普通模糊PID控制方法响应速度更快,超调量更小,更加精准快速地控制滚轮的位置,误差控制在0.1%~0.2%。多缸同步控制响应速度快,控制精准,能够实现对管道的精准校圆。这种模糊PID液压校圆机构提高了校圆质量,为管内校圆机构设计提供新思路。

The ovality of pipe fittings has a huge impact on welding quality and efficiency, and also affects the residual stress distribution of the pipe fittings, thus affecting the service life. Therefore, it is necessary to design an integrated in-pipe rounding mechanism that is compact and suitable for a certain size range. Based on this, this paper proposes an in-pipe hydraulic rounding mechanism. In order to improve the control accuracy of the in-pipe hydraulic rounding system, the genetic algorithm is used to optimize the fuzzy-PID control method. Because simultaneous movement of multiple cylinders is required in the rounding process, the error compensation synchronous control method is adopted. The simulation results show that, compared with the traditional PID and ordinary fuzzy-PID control methods, the optimized fuzzy-PID controller has a faster response speed, smaller overshoot, more accurate and rapid control of the position of the roller, and the error is controlled in the range from 0.1% to 0.2%. Inside, the multi-cylinder synchronous motion has a fast response speed and precise control, which can realize the precise rounding of the pipeline. This fuzzy-PID hydraulic rounding mechanism improves the rounding quality and provides a new idea for the design of the in-pipe rounding mechanism.