摘要
发动机怠速工况作为发动机主要工况之一,是典型的非线性、滞后性、多变量时变系统,很难建立其准确的数学模型,控制系统的设计也非常复杂。应用传统的PID控制策略,结合比例积分的混合迭代学习控制,介绍了混合迭代学习控制原理并应用在发动机状态变量模型下的怠速控制。在Simulink中建立仿真模型验证该方法的控制效果。结果表明,使用该控制法的发动机状态变量模型有更快的收敛速度、更小的绝对偏差和调节时间,跟踪期望输出用时少,保持怠速转速快速稳定在期望值,性能表现更优。
As one of the main working condition of vehicles engine, the engine idle speed condition is a typical nonlinear, hysteresis, multiva- riate time-varying system, which is difficult to establish its accurate mathematical model, and the design of the control system is complex. A hybrid iterative learning control method combined traditional PID control strategy with proportional integral is applied. The principle of the hybrid iterative learning control is introduced and applied to the engine state variable model of the idle control. To verify the control effect of this method, the simulation model is analyzed by Simulink. The results show that the engine state variable model with the hybrid iterative controller has a faster convergence speed, smaller absolute deviation and adjustment time, less time to track the expected output, and keeps the idle speed stable at the target speed quickly. The performance is better.
出处
《信息技术与网络安全》
2018年第2期135-139,共5页
Information Technology and Network Security
关键词
发动机怠速
迭代学习控制
PID控制
状态变量
稳速控制
engine Idle speed
iterative learning control
PID control
state variable
speed stable control
