无人机活塞式发动机进排气系统优化

胡春明; 郝蒙蒙

doi:10.13224/j.cnki.jasp.2018.04.028

无人机活塞式发动机进排气系统优化

doi: 10.13224/j.cnki.jasp.2018.04.028

胡春明¹,
郝蒙蒙²

1.
天津大学天津内燃机研究所，天津 300072；天津大学机械工程学院内燃机燃烧学国家重点实验室，天津 300072
2.
天津大学天津内燃机研究所，天津 300072

基金项目: 国家自然科学基金（51476112）

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出版历程
- 收稿日期: 2016-10-10
- 刊出日期: 2018-04-28

Intake and exhaust system optimization of UAV piston engine

摘要

摘要: 针对一款无人机(UAV)用活塞发动机在飞行转速为6500r/min时扭矩较低以及燃油消耗率较高的问题，提出了一种基于自适应遗传算法（GA）的发动机进排气系统优化方法，进行进排气系统改进设计。使用GT-Power软件搭建了该发动机一维仿真模型，并通过台架试验数据验证模型；基于该模型进行了进排气系统结构参数对扭矩和燃油消耗率的敏感性分析，将进气管长度、直径、空滤器后腔容积和排气管长度作为优化变量，使用Matlab进行自适应遗传算法优化，使用Simulink/GT-Power接口实现数据采集和优化结果反馈。通过台架试验验证了优化结果的准确性。结果表明:在飞行转速为6500r/min时,经过优化后的发动机扭矩和燃油消耗率都得到明显改善，扭矩最大可以提高5.51%，燃油消耗率最大降低6.31%。
- 无人机(UAV) /
- 活塞式发动机 /
- 自适应遗传算法 /
- 敏感性分析 /
- 进排气系统优化
Abstract: To solve the problem of torque decrease and high fuel consumption at 6500r/min flying speed of an unmanned aerial vehicle for plant protection, a multi-parameter optimization method using adaptive genetic algorithm(GA) based on 1-D thermodynamic simulation model was proposed to optimize the intake and exhaust system of single cylinder gasoline engine. GT-Power model of the UAV engine was built to simulate the engine working condition. The model was calibrated by experimental bench data to ensure the accurate simulation. Influence of structure parameters of intake and exhaust system on torque and fuel consumption was analyzed through design of experiment, and length of intake pipe and exhaust pipe, diameter of intake pipe and second cavity volume of air filter were chosen as optimization variables. The model was used to calculate the objective optimization function and limit conditions. Adaptive genetic algorithm was executed by Matlab which exchanged data by interface of Simulink/GT-Power to receive and feedback results. According to the optimization result of adaptive GA, new intake and exhaust system was mounted on the engine to verify optimization result. Result demonstrated that torque and fuel consumption at flying speed of 6500r/min of the engine was obviously improved by adaptive GA, and torque was raised by 5.51% and fuel consumption was improved by 6.31%.
- unmanned aerial vehicle(UAV) /
- piston engine /
- adaptive genetic algorithm (GA) /
- sensitivity analyze /
- intake and exhaust system optimization

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