Simulation research on transient air-fuel ratio control of aero piston engine

胡春明; 毕延飞; 王齐英; 仲伟军

doi:10.13224/j.cnki.jasp.2018.05.026

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Simulation research on transient air-fuel ratio control of aero piston engine

更新时间：2026-07-07

- Simulation research on transient air-fuel ratio control of aero piston engine
- Vol. 33, Issue 5, Pages: 1236-1244(2018)
- 作者机构：
  
  1. 天津大学天津内燃机研究所,天津,300072
  2. 天津大学内燃机燃烧学国家重点实验室,天津,300072
- 作者简介：
- 基金信息：
- DOI：10.13224/j.cnki.jasp.2018.05.026
  CLC：
- Published：2018
- 稿件说明：
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胡春明, 毕延飞, 王齐英, 仲伟军. 航空活塞式发动机瞬态空燃比控制仿真研究[J]. 航空动力学报, 2018, 33(5): 1236-1244.

doi: 10.13224/j.cnki.jasp.2018.05.026
胡春明, 毕延飞, 王齐英, 仲伟军. 航空活塞式发动机瞬态空燃比控制仿真研究[J]. 航空动力学报, 2018, 33(5): 1236-1244. DOI： 10.13224/j.cnki.jasp.2018.05.026.

doi: 10.13224/j.cnki.jasp.2018.05.026 DOI：

摘要

针对航空活塞式直喷发动机瞬态空燃比难以精确控制、动态超调大等问题

采用基于改进的粒子群优化算法和Elman神经网络(VPSO-Elman网络)的模型预测控制算法对发动机过渡工况空燃比进行控制。在实验数据的基础上

利用发动机建模软件AMESim建立发动机模型

在MATLAB/Simulink中建立VPSO-Elman空燃比预测模型控制系统

通过联合仿真检验控制系统的性能。结果表明:瞬态工况下

相比于比例-积分-微分（PID）控制

VPSO-Elman网络模型预测控制下的空燃比超调量可以减小约20%

回调时间缩短约75%；针对不同的节气门开度变化速率

VPSO-Elman控制器同样具有良好的控制效果。

Abstract

In order to solve the problems like the large dynamic overshoot in the control of transient air-fuel ratio of aero piston engine

the model predictive control strategy based on improved particle swarm optimization algorithm and Elman(VPSO-Elman) neural network was proposed. The engine model used in the simulation was established based on a real engine in AMESim. The model predictive control system was established in MATLAB/Simulink. Coupling simulation was carried out to test the effect of the model prediction control. The simulation result shows that

compared with proportional integral derivative (PID) control

using VPSO-Elman network model prediction control the air-fuel overshoot can be reduced by 20%

callback time could be reduced by about 75%; for different throttle opening rate

VPSO-Elman controller also has a good control effect.

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Related Institution

Xi'an Modern Control Technology Research Institute，China North Industries Group Corporation Limited

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