航空活塞式发动机瞬态空燃比控制仿真研究

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。 

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

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.