A generalised optimal linear quadratic tracker with universal applications - part 1: continuous-time systems

被引：16

作者：

Ebrahimzadeh, Faezeh ^{[1
]}

Tsai, Jason Sheng-Hong ^{[1
]}

Liao, Ying Ting ^{[1
]}

Chung, Min-Ching ^{[1
]}

Guo, Shu-Mei ^{[2
]}

Shieh, Leang-San ^{[3
]}

Wang, Li ^{[1
]}

机构：

[1] Natl Cheng Kung Univ, Dept Elect Engn, Tainan, Taiwan

[2] Natl Cheng Kung Univ, Dept Comp Sci & Informat Engn, Tainan, Taiwan

[3] Univ Houston, Dept Elect & Comp Engn, Houston, TX USA

来源：

INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE | 2017年 / 48卷 / 02期

关键词：

Optimal linear quadratic servomechanism; optimal iterative learning control; frequency shaping; PID controller; input constraint; non-minimum phase system; control zeros; FAULT-TOLERANT CONTROL; INPUT-DISTURBANCE APPROACH; DIGITAL PID CONTROLLER; ANALOG SYSTEMS; CONTROL DESIGN; STATE; DELAY; REJECTION; ACTUATOR;

D O I：

10.1080/00207721.2016.1186239

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents a generalised optimal linear quadratic analog tracker (LQAT) with universal applications for the continuous-time (CT) systems. This includes: (1) a generalised optimal LQAT design for the system with the pre-specified trajectories of the output and the control input and additionally with both the input-to-output direct-feed through term and known/estimated system disturbances or extra input/output signals; (2) a new optimal filter-shaped proportional plus integral state-feedback LQAT design for non-square non-minimum phase CT systems to achieve a minimum phase-like tracking performance; (3) a new approach for computing the control zeros of the given non-square CT system; and (4) a one-learning-epoch input-constrained iterative learning LQAT design for the repetitive CT system.

引用

页码：376 / 396

页数：21

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