1. Robust Adaptive Control for Stochastic Discrete-Time Nonlinear Systems and Application to Gas Engine as an Electric Vehicle Extender
- Author
-
Li Yanxiao, Wang Jian, Yang Jun, and Zhang Qinglin
- Subjects
Stochastic robust adaptive control ,0209 industrial biotechnology ,Adaptive control ,business.product_category ,General Computer Science ,Computer simulation ,Computer science ,020209 energy ,General Engineering ,Markovian switching ,gas engine for electric vehicle extender ,02 engineering and technology ,Discrete time nonlinear systems ,Nonlinear system ,020901 industrial engineering & automation ,air-fuel ratio ,Control theory ,Electric vehicle ,0202 electrical engineering, electronic engineering, information engineering ,Gas engine ,General Materials Science ,lcsh:Electrical engineering. Electronics. Nuclear engineering ,business ,lcsh:TK1-9971 - Abstract
In this paper, the problem of adaptive control with disturbance attenuation is investigated for stochastic discrete-time nonlinear systems with Markovian jumping parameters and unknown system parameters. Using the proposed control law and the sufficient conditions, the closed-loop system achieved H∞ performance. As a practical example of the considered problem, an air-fuel ratio controller for a gas engine intended as an electric vehicle extender is designed based on the proposed adaptive disturbance attenuation control algorithm. The air-fuel ratio controller is validated via a numerical simulation under three working conditions. The results of the numerical simulation show that the air-fuel ratio can be regulated into a range around its desired value by the proposed adaptive disturbance attenuation controller and that the adaptive law can be tuned to a steady value. The control performance indices of the proposed adaptive disturbance attenuation controller are smaller than those of the open-loop controller, which means that the proposed adaptive disturbance attenuation controller achieves a greater control effect.
- Published
- 2020