Current Estimation and Path Following for an Autonomous Underwater Vehicle (AUV) by Using a High-gain Observer Based on an AUV Dynamic Model

Author(s):  
Eonjoo Kim ◽  
Shuangshuang Fan ◽  
Neil Bose ◽  
Hung Nguyen
2016 ◽  
Vol 39 (8) ◽  
pp. 1236-1252 ◽  
Author(s):  
Basant Kumar Sahu ◽  
Bidyadhar Subudhi

This paper presents the development of simple but powerful path-following and obstacle-avoidance control laws for an underactuated autonomous underwater vehicle (AUV). Potential function-based proportional derivative (PFPD) as well as a potential function-based augmented proportional derivative (PFAPD) control laws are developed to govern the motion of the AUV in an obstacle-rich environment. For obstacle avoidance, a mathematical potential function is used, which formulates the repulsive force between the AUV and the solid obstacles intersecting the desired path. Numerical simulations are carried out to study the efficacy of the proposed controllers and the results are observed. To reduce the values of the overshoots and steady-state errors identified due to the application of PFPD controller a PFAPD controller is designed that drives the AUV along the desired trajectory. From the simulation results, it is observed that the proposed controllers are able to drive the AUV to track the desired path, avoiding the obstacles in an obstacle-rich environment. The results are compared and it is observed that the PFAPD outperforms the PFPD to drive the AUV along the desired trajectory. It is also proved that it is not necessary to employ highly complicated controllers for solving obstacle-avoidance and path-following problems of underactuated AUVs. These problems can be solved with the application of PFAPD controllers.


Author(s):  
Martin Varga

Urgency of the research. Currently, most machines go through computer modelling and simulation phase in their development cycle. The ability to formulate simple yet effective models helps to both decrease development cost and time. Target setting. Today many tasks are being accomplished by robots whether mobile robots or industrial robots. To simulate the behaviour of these robots a dynamic model is needed. These models can be very complex and the parameters to fill all the equations can be difficult to find, therefore simplifications need to be implemented and verified so that the models are still accurate. Actual scientific researches and issues analysis. A basic step in the development of new products is the simulation and modeling phase. Development of a computer model prior to development of a physical prototype saves time and resources. Unfortunately, some models can be very complex and require parameters only acquirable from tests on physical systems. That is why often these models need to be heavily simplified which can lead to imprecise results. Often, verification of the model is needed. One of such systems is the dynamic model of an Autonomous underwater vehicle (AUV). Uninvestigated parts of general matters defining. This article focuses on verification of a highly simplified dynamic simulation model of AUV. The research objective. The aim of these research was to model a simplified dynamic model of an AUV moving through fluid with nonnegligible viscous properties and verifie the model by comparing simulation results with experimental results obtained by testing on the real AUV. The statement of basic materials. The analysis consists of an attempt to summarise the possible ways to simplify a general dynamic equation for movement of an AUV in a fluid with nonnegligible viscous properties and showing, that even such simplified model stays usable and bring with it reduction in complexity. Conclusions. This article shows the basic dynamic equations for describing the movement of a general AUV in a fluid with nonnegligible viscous properties and the possible simplification of this equation in regard to a specific construction of a real world AUV. The results gathered from the simulation model are then compared to experimental results performed on the physical AUV with the conclusion, that both datasets are matching within reasonable margins. This article serves as a good reminder of the importance and benefits of well establishing simplifications in a model of a real-life system.


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