汽车发动机节能优化控制仿真与研究

Automotive Engine Energy Optimization Control Simulation and Research

在车辆发动机优化设计的研究中,车辆节能控制的优化能够有效提高汽车发动机燃油燃烧效率,降低发动机的燃油消耗。在汽车行驶过程中,存在着起步突变、急停、忽然转向等特殊情况,利用传统的PID节能控制方法需要大幅度、快速的调整控制参数,以满足意外情况的控制稳定性需求,但改变控制过程中没有考虑对能量的消耗问题,大幅改变参数势必造成能量的无谓损耗。提出一种采用免疫PID的车辆节能控制系统。根据人体免疫应答机制的基本原理,将免疫反馈引入到PID车辆节能控制系统中。采用单层神经网络作为抑制抗体的调节系数,能够实现车辆复杂行驶状态下的非线性过程的拟合。利用神经网络和PID结合的方法建立免疫PID车辆节能控制模型,根据模型的输出实现了车辆节能的精确控制。实验结果表明,利用免疫PID的车辆节能控制系统进行车辆节能控制,能够有效提高控制的精度。

A vehicle energy saving control system is presented based on immune PID. According to the basic principle of the body＇s immune response, the immune feedback is introduced into the PID vehicles energy - saving control system. Using single layer neural network as the adjustment coefficient of inhibition antibody ,the vehicle driv- ing state of complex non - linear fitting process is realized. The method of using neural network and PID combined with immune PID vehicles energy - saving control model is established, according to the output of the model realized the accurate control of vehicle energy saving. The experimental results show that the use of vehicle energy conserva- tion of the immune PID control system for vehicle energy saving control can effectively improve the control precision.