Nonlinear Optimal Generalized Predictive Functional Control Applied to Quasi-LPV Model of Automotive Electronic Throttle

被引：0
|
作者：
Alotaibi, S. [1 ]
Grimble, M. [1 ]
机构：
[1] Univ Strathclyde, Dept Elect & Elect Engn, Glasgow, Lanark, Scotland
来源：
2019 IEEE 15TH INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION (ICCA) | 2019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：
A Nonlinear Optimal Generalized Predictive Functional Control algorithm is presented for the control of quasi linear parameter varying state-space systems. A scalar automotive electronic throttle body is simulated to demonstrate typical results. The controller structure is specified in a restricted structure form including a set of pre-specified linear transfer-functions and a vector of gains that are found to minimize a GPC cost-index. This approach enables a range of classical controller structures to be used in the feedback loop such as extended PI, PID or of a more general transfer-function form. The controller is introduced along with a dynamic cost-weighting tuning future. A simulation is used to validate the performance of the restricted structure controller for regulation and tracking problems assessed against automotive performance standards.
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收藏
页码：1277 / 1282
页数：6
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