Simultaneous optimization of control gains and reference filter coefficients for trajectory tracking control
Amane Sakanashi, Rin Suyama, Atsuo Maki, and Youhei Akimoto

TL;DR
This paper presents a method for optimizing control gains and reference filter coefficients simultaneously in vessel trajectory tracking, considering actuator constraints to improve stability and tracking accuracy.
Contribution
It introduces a combined optimization approach that accounts for actuator constraints and rate saturation during control gain and reference path parameter tuning.
Findings
Enhanced tracking performance demonstrated in simulations.
Effective handling of actuator and rate constraints.
Simultaneous optimization improves control stability.
Abstract
Research on vessel automation and autonomy is currently being conducted by various countries and institutions. Safe and accurate ship control algorithms are crucial to realize automated operation. Actuator drive constraints of a target ship may jeopardize the stability of the control law and require complex theory. In this study, we include a penalty term to the control law gain optimization stage of dynamic positioning systems to account for the amounts by which the actuator input value and its rate of change exceed the constraint. The parameters for generating a suitable reference path for the control law are identified simultaneously with the control gains. The simulation results show that the proposed method can realize control parameters and a reference design with excellent tracking performance while determining the cost of the controller design by considering the effects of both…
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Taxonomy
TopicsAdvanced Control Systems Optimization · Adaptive Control of Nonlinear Systems · Robotic Mechanisms and Dynamics
