Receding Horizon Sliding Control Design with Robustness to Implementation Imprecisions

被引：0
|
作者：
Choi, Yongkeun [1 ]
Hedrick, J. Karl [2 ]
机构：
[1] Univ Calif Berkeley, Vehicles Dynam Lab, Mech Engn, Berkeley, CA 94704 USA
[2] Univ Calif Berkeley, Fac Mech Engn, Berkeley, CA 94704 USA
来源：
2016 IEEE CONFERENCE ON CONTROL APPLICATIONS (CCA) | 2016年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Uncertainties caused by sampling and quantization (Analog to Digital Conversion, ADC) generate discrepancies between actual and recorded data. This results in degrading controller performance in general. However, if these uncertainties are considered in designing a controller, performance can be improved. In this paper, a Receding Horizon Sliding Control (RHSC) is used, which extends the sliding control to incorporate a receding horizon approach. Estimation of current uncertainties due to ADC and RHSC formulation are used to predict future uncertainties. Then, RHSC design is modified utilizing the current and predicted future uncertainties. Cold start emission control problem is used as an application for the proposed control strategy. During simulation, the proposed control approach shows significant improvement in reducing tracking errors in the presence of ADC imprecisions compared to a baseline discrete sliding controller and RHSC.
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页数：6
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