航空活塞式发动机空燃比实时控制算法

采用比例-积分-微分神经网络(PIDNN)的控制算法,集合了传统PID控制及神经网络各自的优点,控制发动机在不同工况下的空燃比,实现发动机在不同工况间切换时,能够快速地控制空燃比至目标值.在AMESim软件中建立发动机模型,在MATLAB软件中建立PIDNN控制算法,进行模型在环仿真,仿真结果表明:在不同海拔高度下,PIDNN控制算法都能够准确地把空燃比控制在目标值,当发动机在不同工况间切换时,PIDNN能够在0.5s内把发动机空燃比控制至目标值,并且保证过量空气系数超调量在0.2之内,改善了发动机的动力性、经济性,提高了发动机的响应能力.

Real time control algorithm of aviation piston engine air-fuel ratio

Adopting the proportion-integration-differentiation neural network (PIDNN) control algorithm, the advantages of both the tradition PID and neural network were combined. It was used to control the engine air-fuel ratio under different operating conditions, and when the condition changed, it could control the air-fuel ratio to the target value. An engine model was built in software AMESim. The PIDNN control algorithm was built in software MATLAB. Through the model-in-the-loop, the simulation results show that: at different altitudes, the PIDNN could control the air-fuel ratio to the targets accurately. When the engine operating condition changes, the PIDNN could control the air-fuel ratio to the target within 0.5s and ensure the overshoot under 0.2, which results in the improvements of the engine dynamic property, fuel economy and rapid responsibility.