efficient multivariable generalized predictive control for autonomous underwater vehicle in vertical plane

efficient multivariable generalized predictive control for autonomous underwater vehicle in vertical plane

;Xuliang Yao;Guangyi Yang
journal of power sources 2016 Vol. 2016 pp. -
90
yao2016mathematicalefficient

Abstract

This paper presents the design and simulation validation of a multivariable GPC (generalized predictive control) for AUV (autonomous underwater vehicle) in vertical plane. This control approach has been designed in the case of AUV navigating with low speed near water surface, in order to restrain wave disturbance effectively and improve pitch and heave motion stability. The proposed controller guarantees compliance with rudder manipulation, AUV output constraints, and driving energy consumption. Performance index based on pitch stabilizing performance, energy consumption, and system constraints is used to derive the control action applied for each time step. In order to deal with constrained optimization problems, a Hildreth’s QP procedure is adopted. Simulation results of AUV longitudinal control show better stabilizing performance and minimized energy consumption improved by multivariable GPC.

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ID: 188879
Ref Key: yao2016mathematicalefficient
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NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
188879
Unique Identifier:
10.1155/2016/4650380
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Scimatic Chain (ID: 481)
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