智能阀门电液伺服阀控系统的设计与仿真

发布时间：2018-01-10 18:06

本文关键词：智能阀门电液伺服阀控系统的设计与仿真　出处：《天津理工大学》2017年硕士论文　论文类型：学位论文

【摘要】：伴随着科技的进步,智能阀门行业发展迅速。在阀门工况复杂化、控制的精度要求越来越高以及体积小推力大的要求下,对其系统与相关控制技术的要求也越来越高。电液系统控制阀门相比较单独的电动、气动和液动阀门来说适应范围更广,开闭精度更高。但是因为电液伺服系统是受外界干扰较为严重的系统,同时其参数会随着工况不断变化的,所以其数学模型不太容易建立。传统的PID控制因为其抗扰动性不太好而且调整能力不足,所以设计精确模型时能力稍显不足。本文以电液执行系统为研究对象,根据给定参数,结合阀门实际工作要求,设计了阀门的电液伺服系统,选定了系统各元件的型号。搭建了系统的数学模型,通过实际参数确定了其传递函数,运用频率稳定性判据判定系统为稳定系统。阐述了模糊PID理论,与一般的PID控制器进行了理论上的比较。设计出了系统的模糊PID控制器,分别在AMEsim和Simulink中搭建了系统的模型和控制模型,利用Matlab/Simulink联合仿真,研究系统的工作特性。通过调整物理模型的参数和PID参数的整定解决了液压缸入口流量波动较大的问题,以及得到了比较良好的控制效果,得出较优的系统参数。仿真结果可以得出模糊PID控制系统比一般的PID控制系统响应速度提升了约18%,因此,模糊PID控制器控制效果满足系统需要。研究结果为智能阀门发展和实际应用提供了理论基础。
[Abstract]:With the progress of science and technology, the intelligent valve industry has developed rapidly. Under the requirements of complex valve working conditions, higher and higher control accuracy and larger volume and small thrust. The requirements for its system and related control technology are higher and higher. Compared with the electric pneumatic and hydraulic valves the electro-hydraulic control valves have a wider range of adaptations. The opening and closing accuracy is higher, but because the electro-hydraulic servo system is seriously disturbed by the outside world, its parameters will change with the working conditions. So its mathematical model is not easy to set up. Traditional PID control is not good because of its anti-disturbance and the ability of adjustment is insufficient. In this paper, the electro-hydraulic servo system of the valve is designed according to the given parameters and the actual working requirements of the valve. The model of each component of the system is selected, the mathematical model of the system is built, its transfer function is determined by the actual parameters, and the system is judged as a stable system by using the frequency stability criterion. The fuzzy PID theory is expounded. Compared with the general PID controller, the fuzzy PID controller is designed, and the system model and control model are built in AMEsim and Simulink respectively. The working characteristics of the system are studied by Matlab/Simulink simulation, and the problem of large flow fluctuation at the inlet of the cylinder is solved by adjusting the parameters of the physical model and the parameters of the PID. The simulation results show that the response speed of the fuzzy PID control system is about 18% faster than that of the general PID control system. The control effect of fuzzy PID controller meets the needs of the system. The results provide a theoretical basis for the development and practical application of intelligent valves.
【学位授予单位】：天津理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TH137.52;TP273

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