Adaptive-Smith Predictor for Controlling an Automotive Electronic Throttle over Network

Abstract

The paper presents a control strategy for an automotive electronic throttle, a device used to regulate the power produced by spark-ignition engines. Controlling the electronic throttle body is a difficult task because the throttle accounts strong nonlinearities. The difficulty increases when the control works through communication networks subject to random delay. In this paper, we revisit the Smith-predictor control, and show how to adapt it for controlling the electronic throttle body over a delay-driven network. Experiments were carried out in a laboratory, and the corresponding data indicate the benefits of our approach for applications.

Predictive control compensation for networked control system with time-delay

“…Because the Smith predictor has good compensation effect for pure time-delay systems, it has been applied to network time-delay compensation. 28,29 However, the Smith prediction method has some defects to some extent, that is, it is difficult to match the prediction model with the actual model. If the external interference occurs in the system, it will affect the dynamic performance of the system.…”

Design and Comparative Study of Advanced Adaptive Control Schemes for Position Control of Electronic Throttle Valve

“…Caruntu et al (2012) has adopted Smith-predictor control, which is used to control the electronic throttle body. There have been experiments conducted to implement the control strategy of throttle valve over a delayed-driven network [13]. Xinghua et al (2017) presented a stabilizing controller based on stochastic dynamic systems.…”