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Time Series Modeling for Analysis and ControlDesign of a Model-Based Autopilot System for Course Keeping Motion

Time Series Modeling for Analysis and Control: Design of a Model-Based Autopilot System for... [A critical problem in applying the optimal control theory to a large-scale complex system that is subject to large disturbances, such as a ship, an electric power plant, or a large chemical plant, is that it is sometimes difficult to obtain a precise state-space model from the theory of the subject area. For such systems, Akaike, H.: Ann. Inst. Stat. Math. 23, 163–180 (1971) proposed the ARX model for the identification of the controlled system. In this chapter, we propose a method for obtaining optimal control laws based on the linear stationary state-space model of the controlled system for two performance criteria. Based on this linear quadratic optimal controller, we develop three types of optimal controllers for a ship: an AR model-based autopilot, a roll reduction control system, and an engine governor control system.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Time Series Modeling for Analysis and ControlDesign of a Model-Based Autopilot System for Course Keeping Motion

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Publisher
Springer Japan
Copyright
© The Author(s) 2015
ISBN
978-4-431-55302-1
Pages
57 –81
DOI
10.1007/978-4-431-55303-8_3
Publisher site
See Chapter on Publisher Site

Abstract

[A critical problem in applying the optimal control theory to a large-scale complex system that is subject to large disturbances, such as a ship, an electric power plant, or a large chemical plant, is that it is sometimes difficult to obtain a precise state-space model from the theory of the subject area. For such systems, Akaike, H.: Ann. Inst. Stat. Math. 23, 163–180 (1971) proposed the ARX model for the identification of the controlled system. In this chapter, we propose a method for obtaining optimal control laws based on the linear stationary state-space model of the controlled system for two performance criteria. Based on this linear quadratic optimal controller, we develop three types of optimal controllers for a ship: an AR model-based autopilot, a roll reduction control system, and an engine governor control system.]

Published: Mar 20, 2015

Keywords: ARX model based optimal control; Ship course keeping; Autopilot; Rudder roll control; Ship main engine governor

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