Disturbance Observer-Based Fuzzy Adapted S-Surface Controller for Spatial Trajectory Tracking of Autonomous Underwater Vehicle (original) (raw)

Fuzzy Adaptive Control for Trajectory Tracking of Autonomous Underwater Vehicle

In this paper, the problem of the position and attitude tracking of an autonomous underwater vehicle (AUV) in the horizontal plane, under the presence of ocean current disturbances is discussed. The effect of the gradual variation of the parameters is taken into account. The effectiveness of the adaptive controller is compared with a feedback linearization method and fuzzy gain control approach. The proposed strategy has been tested through simulations. Also, the performance of the proposed method is compared with other strategies given in some other studies. The boundedness and asymptotic convergence properties of the control algorithm and its semi-global stability are analytically proven using Lyapunov stability theory and Barbalat's lemma.

Adaptive disturbance observer for trajectory tracking control of underwater vehicles

Ocean Engineering

Complex and highly coupled dynamics, time-variance, unpredictable disturbances and lack of knowledge of hydrodynamic parameters, complicate the control of underwater vehicles. This paper deals with the adaptive disturbance observer design for the robust trajectory tracking problem for underwater vehicles in presence of unknown external disturbances and parametric uncertainties. First, the dynamics of the vehicle is transformed into the socalled regular form. Then, based on the Extended State Observer technique and High Order Sliding Modes Control, a disturbance observer is proposed. Furthermore, the gains of the observer are automatically adjusted by the introduction of an adaption law. The stability of the whole controller/observer scheme is proven using Lyapunov's arguments. The adaptive disturbance observer aims to improve the Backstepping and nonlinear PD controllers. Real-Time experiments demonstrate the effectiveness of the proposed algorithm for the trajectory tracking task under several scenarios.

Adaptive Fuzzy Sliding Mode Controller for the Kinematic Variables of an Underwater Vehicle

Journal of Intelligent and Robotic Systems, 2007

This paper address the kinematic variables control problem for the low-speed manoeuvring of a low cost and underactuated underwater vehicle. Control of underwater vehicles is not simple, mainly due to the non-linear and coupled character of system equations, the lack of a precise model of vehicle dynamics and parameters, as well as the appearance of internal and external perturbations. The proposed methodology is an approach included in the control areas of non-linear feedback linearization, model-based and uncertainties consideration, making use of a pioneering algorithm in underwater vehicles. It is based on the fusion of a sliding mode controller and an adaptive fuzzy system, including the advantages of both systems. The main advantage of this methodology is that it relaxes the required knowledge of vehicle model, reducing the cost of its design. The described controller is part of a modular and simple 2D guidance and control architecture. The controller makes use of a semi-decoupled non-linear plant model of the Snorkel vehicle and it is compounded by three independent controllers, each one for the three controllable DOFs of the vehicle. The experimental results demonstrate the good performance of the proposed controller, within the constraints of the sensorial system and the uncertainty of vehicle theoretical models. Keywords Adaptive equalization. Fuzzy models and estimators. Marine systems. Non-linear control. Robots dynamics. Sliding mode control 1 Introduction Underwater vehicles have replaced human beings, in a great number of scenarios, especially in dangerous or precise tasks. Scientific and technological tasks, such as

Heading plane Control of an Autonomous Underwater Vehicle: A novel Fuzzy and Model Reference Adaptive Control Approach

2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC), 2020

This paper describes various control strategies used for controlling the desired heading angle of the Autonomous under water vehicle(AUV). The control of AUV is a great challenge for the researchers due to the time varying and highly nonlinear effect of hydrodynamic forces. The presence of communication constraints and the external disturbances inside the fluid makes the design of control action of AUV more difficult. In these situation the adaptive controller techniques such as Model reference adaptive controller (MRAC) is more suitable. The proposed new adaptive controller Fuzzy Model Reference Adaptive Controller (FMRAC) technique is the combination of MRAC and Fuzzy logic which produces better transient performance. The heading controller is designed and their performance is examined through the MATLAB/SIMULINK. The time response characteristics of the proposed controller are compared with traditional MRAC and FUZZY. The FMRAC has the ability to produce the stable operation and ...

Adaptive Disturbance Observer for Trajectory Tracking of Underwater Vehicles

2020

Complex and highly coupled dynamics, time-variance, unpredictable disturbances and lack of knowledge of hydrodynamic parameters, complicate the control of underwater vehicles. This paper deals with the adaptive disturbance observer design for the robust trajectory tracking problem for underwater vehicles in presence of unknown external disturbances and parametric uncertainties. First, the dynamics of the vehicle is transformed into the socalled regular form. Then, based on the Extended State Observer technique and High Order Sliding Modes Control, a disturbance observer is proposed. Furthermore, the gains of the observer are automatically adjusted by the introduction of an adaption law. The stability of the whole controller/observer scheme is proven using Lyapunov’s arguments. The adaptive disturbance observer aims to improve the Backstepping and nonlinear PD controllers. Real-Time experiments demonstrate the effectiveness of the proposed algorithm for the trajectory tracking task u...

Adaptive Tracking Control of an Autonomous Underwater Vehicle

International Journal of Automation and Computing, 2014

This paper presents the trajectory tracking control of an autonomous underwater vehicle (AUV). To cope with parametric uncertainties owing to the hydrodynamic effect, an adaptive control law is developed for the AUV to track the desired trajectory. This desired state-dependent regressor matrix-based controller provides consistent results under hydrodynamic parametric uncertainties. Stability of the developed controller is verified using the Lyapunov s direct method. Numerical simulations are carried out to study the efficacy of the proposed adaptive controller.

Adaptive fuzzy control of unmanned underwater vehicles

Indian Journal of Marine …, 2011

Unmanned Underwater Vehicles (UUVs) have been playing an increasingly important role in military and civilian operations and been widely used in various applications. The main issue associated with the development and design of UUV's is the control system design. These vehicles have nonlinear dynamics and coupling, and tend to exhibit time varying characteristics. In addition they are subject to different environmental disturbances. Successful completion of the UUV missions depends on the control provided by the autopilot unit mounted on board. These controllers need to be tuned and analysed before implementing them in real environment. In the present work, the first objective is to demonstrate the capability of adaptive network fuzzy inference system, namely ANFIS for modelling of UUVs and the second objective is to design a fuzzy controller using the ANFIS model. The input output data from the UUV are used for the ANFIS modelling. This model is used in the design and validation of the fuzzy controller and the results are compared with a conventional PID controller.

Robust maneuvering of autonomous underwater vehicle: an adaptive fuzzy PI sliding mode control

Intelligent Service Robotics, 2017

The control issues in nonlinear trajectory tracking of an autonomous underwater vehicle (AUV) are a challenging task due to the complex oceanic environment, highly nonlinear coupled dynamics, imprecise hydrodynamic coefficients and unpredictable external disturbances such as ocean waves, current fluctuations and tides. This paper addresses an adaptive fuzzy PI sliding mode control (AFPISMC) for trajectory tracking control of AUV to achieve high precise maneuvering in undersea environment. An AFPISMC is basically comprised of an equivalent control based on approximately known inverse dynamic model output and continuous adaptive PI term is designed to eliminate chattering effect. Furthermore, it does not require a priori knowledge of upper bounds on uncertainties in the dynamic parameters of an AUV. In this approach, decoupled single input fuzzy PI control strategy is employed along with a reduced rule base and self-tuning control law is derived to modify hitting gain in order to enhance tracking response. The overall control scheme guarantees the global asymptotic stability based on Lyapunov theory. Finally, the effectiveness and robustness of the proposed approach are demonstrated through simulation and comparison studies.

Survey on Fuzzy-Logic-Based Guidance and Control of Marine Surface Vehicles and Underwater Vehicles

International Journal of Fuzzy Systems, 2017

Fuzzy logic control, due to its simple control structure, easy and cost-effective design, has been successfully employed to the application of guidance and control in robotic fields. This paper aims to review fuzzylogic-based guidance and control in an important branch of robots-marine robotic vehicles. First, guidance and motion forms including the maneuvering, path following, trajectory tracking, and position stabilization are described. Subsequently, the application of three major classes of fuzzy logic control, including the conventional fuzzy control (Mamdani fuzzy control and Takagi-Sugeno-Kang fuzzy control), adaptive fuzzy control (self-tuning fuzzy control and direct/indirect adaptive fuzzy control), and hybrid fuzzy control (fuzzy PID control, fuzzy sliding mode control, and neuro-fuzzy control) are presented. In particular, we summarize the design and analysis process of direct/indirect adaptive fuzzy control and fuzzy PID control in marine robotic fields. In addition, two comparative results between hybrid fuzzy control and the corresponding single control are provided to illustrate the superiority of hybrid fuzzy control. Finally, trends of the fuzzy future in marine robotic vehicles are concluded based on its state of the art. Keywords Fuzzy logic control Á Guidance and control Á Unmanned surface vehicles Á Autonomous underwater vehicles Á Remotely operated vehicles & Xianbo Xiang

Application of fuzzy control to steering of semiautonomous underwater vehicle

In the paper a fuzzy control system to steering of unmanned underwater vehicle is considered. Underwater objects, which operate beneath surface of water, very often are exposed to disturbances of its movement from a sea current. In case of lack of sea current measurement devices on the board they can not counteract it by generating contrary thrust. A method of evaluation of influence of environmental disturbances for vehicle's motion is presented. The method allows partly eliminating negative influence of the sea current for vehicle's motion along predefined path. Some computer simulations are provided to demonstrate effectiveness and correctness of the approach.