Stability analysis of braking and control system of pipeline intelligent plugging robot

Zhengguo Jiang, Chong Xie, Minghai Zhou, Xiang Liu, Guangyao Li, Guorong Wang, Yang Tang
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Abstract

In the maintenance and emergency repair of oil and gas long-distance pipelines, the pipeline intelligent plugging robot is a new type of intelligent and efficient plugging device inside the pipeline. The stability of its braking and control system determines whether it can successfully seal high-pressure oil and gas inside the pipeline. This research is about intelligent plugging robots for pipelines that use the friction between the rubber hose and the pipe wall for braking. A hydraulic control system is designed, and a braking model for the robot is established. The hydraulic control system is simulated using a numerical simulation method, and the influence of different braking distances on system stability is investigated for various initial velocities of the robot. The results indicate that the fuzzy PID control hydraulic system exhibits a faster response with a maximum overshoot acceleration of −12.8 m/s2. The system achieves the desired acceleration of −0.14 m/s2 within 7 seconds and successfully completes the braking process. The fuzzy PID control approach effectively reduces parameter fluctuations, improves system stability, and decreases acceleration variations when faced with different initial speeds and braking distance signals. Consequently, the positioning accuracy of the robot is enhanced, and power consumption is reduced. This research provides important guidance for the development of new technologies in pipeline maintenance and emergency repair, particularly in the area of plugging operations under pressure.
管道智能堵漏机器人制动和控制系统的稳定性分析
在油气长输管道的维护和应急抢修中,管道智能封堵机器人是一种新型、智能、高效的管道内封堵装置。其制动和控制系统的稳定性决定了它能否成功封堵管道内的高压油气。本研究的主题是利用橡胶管与管壁之间的摩擦力进行制动的管道智能封堵机器人。设计了液压控制系统,并建立了机器人制动模型。采用数值模拟方法对液压控制系统进行了仿真,并研究了机器人在不同初始速度下不同制动距离对系统稳定性的影响。结果表明,模糊 PID 控制液压系统的响应速度更快,最大过冲加速度为 -12.8 m/s2。系统在 7 秒内达到了-0.14 m/s2 的预期加速度,并成功完成了制动过程。模糊 PID 控制方法有效地减少了参数波动,提高了系统稳定性,并减少了面对不同初始速度和制动距离信号时的加速度变化。因此,提高了机器人的定位精度,降低了功耗。这项研究为管道维护和紧急维修新技术的开发提供了重要指导,尤其是在压力下的堵漏作业领域。
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