基于遗传算法的高压油管压力控制的优化模型

Optimal Model of Pressure Control of High-Pressure Tubing Based on Genetic Algorithm

高压油管是燃油发动机的重要组成部分。通过控制高压油管进出燃油产生的压力变化,使其压力变化稳定是提升燃油发动机工作效率的重要手段。本文针对含有两个喷油嘴的高压油管油压控制的问题进行建模分析,从两喷油嘴交替工作时间间隔与凸轮转速两方面进行考虑,以交替间隔t与转速增幅k作为决策变量,以变量范围作为约束条件,规定最小化单位时间泵入油量与喷出油量的差值为目标函数,建立了优化模型,并利用遗传算法对优化模型进行了求解。

High-pressure fuel pipes are an important part of fuel engines. Controlling the pressure change caused by the high-pressure fuel pipe in and out of the fuel to stabilize the pressure change is an important means to improve the working efficiency of the fuel engine. This paper focuses on the modeling and analysis of high-pressure tubing oil pressure control with two injectors, and considers the alternate working time interval and cam rotation speed of the two injectors, and uses the alternate interval t and the speed increase k as decision variables. The variable range was used as a constraint condition, and the difference between the pumped oil volume and the discharged oil volume per unit time was specified as the objective function. An optimization model was established, and the genetic model was used to solve the optimization model.