4.7 Article

Robust sliding mode control of a mini unmanned underwater vehicle equipped with a new arrangement of water jet propulsions: Simulation and experimental study

期刊

APPLIED OCEAN RESEARCH
卷 59, 期 -, 页码 521-542

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.apor.2016.07.006

关键词

MUUV; Water jet propulsion; Sliding mode; Feedback linearization; Path tracking

向作者/读者索取更多资源

This paper presents dynamical modeling and robust control of a Mini Unmanned Underwater Vehicle (MUUV) equipped with a new arrangement of water jet propulsion. The water jet propulsion includes some advantages comparing with a propeller one, such as, reducing the number of required motors, desired number and arrangement of the propulsions, removing adverse torque and cavitation due to propeller rotation and etc. In order to model the proposed MUUV, the gray box method is used in such a way that the dynamical equation of motion is derived analytically by Euler-Lagrangian method, and then the hydrodynamic coefficients (such as added mass and drag coefficients) are derived by performing some tests in a Computational Fluid Dynamic (CFD) software. The dynamical model is used to simulate the MUUV system and also to design the proposed controllers, which are Feedback Linearization Controller (FLC) and Sliding Mode Controller (SMC). In order to investigate and compare the performance of the MUUV and the applied controllers, three types of tests including a desired signal tracking case and two desired path tracking cases are designed. To do so, a method is presented to obtain the desired signals from a desired path under predetermined conditions. Then, an MUUV prototype is designed and constructed in order to investigate the performance of the proposed water jet propulsions and controllers for regulation and tracking desired signal purpose, experimentally. As it is expected, the simulation and experimental results show better performance of the SMC compared to FLC. Furthermore, the experimental results reveal that the water jet propulsion is implementable to practical prototypes and also can be produced in an industrial level. (C) 2016 Elsevier Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Automation & Control Systems

Tracking Control of Ball on Sphere System Using Tuned Fuzzy Sliding Mode Controller Based on Artificial Bee Colony Algorithm

Ehsan Zakeri, Seyed Alireza Moezi, Mohammad Eghtesad

INTERNATIONAL JOURNAL OF FUZZY SYSTEMS (2018)

Article Engineering, Mechanical

Structural single and multiple crack detection in cantilever beams using a hybrid Cuckoo-Nelder-Mead optimization method

Seyed Alireza Moezi, Ehsan Zakeri, Amin Zare

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2018)

Article Engineering, Multidisciplinary

A generally modified cuckoo optimization algorithm for crack detection in cantilever Euler-Bernoulli beams

Seyed Alireza Moezi, Ehsan Zakeri, Amin Zare

PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY (2018)

Article Automation & Control Systems

Optimal adaptive interval type-2 fuzzy fractional-order backstepping sliding mode control method for some classes of nonlinear systems

Seyed Alireza Moezi, Ehsan Zakeri, Mohammad Eghtesad

ISA TRANSACTIONS (2019)

Article Engineering, Electrical & Electronic

Digital control design for an IPMC actuator using adaptive optimal proportional integral plus method: Simulation and experimental study

Ehsan Zakeri, Hossein Moeinkhah

SENSORS AND ACTUATORS A-PHYSICAL (2019)

Article Environmental Sciences

Increasing thermal comfort of a net-zero energy building inhabitant by optimization of energy consumption

M. Mahdavi Adeli, S. Farahat, F. Sarhaddi

INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY (2020)

Article Chemistry, Physical

Optimization of Energy Consumption in Net-Zero Energy Buildings with Increasing Thermal Comfort of Occupants

Mohsen Mahdavi Adeli, Said Farahat, Faramarz Sarhaddi

INTERNATIONAL JOURNAL OF PHOTOENERGY (2020)

Article Computer Science, Interdisciplinary Applications

Adaptive multi-tracker optimization algorithm for global optimization problems: emphasis on applications in chemical engineering

Habibeh Khosravi, Ehsan Zakeri, Wen-Fang Xie, Bahar Ahmadi

Summary: This paper presents an adaptive multi-tracker optimization algorithm (AMTOA) for global optimization problems in chemical engineering. By modifying the traditional multi-tracker optimization algorithm (MTOA) and making its parameters adaptive, AMTOA achieves higher solution precision, algorithm reliability, and reduces the number of parameters. Comparisons with other well-known methods and advanced optimization algorithms demonstrate AMTOA's superiority for chemical engineering optimization problems.

ENGINEERING WITH COMPUTERS (2022)

Article Environmental Sciences

Parametric analysis of a zero-energy building aiming for a reduction of CO2emissions for warm climate

Mohsen Mahdavi Adeli, Said Farahat, Faramarz Sarhaddi

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2020)

Article Automation & Control Systems

Robust Cascade Vision/Force Control of Industrial Robots Utilizing Continuous Integral Sliding-Mode Control Method

Bahar Ahmadi, Wen-Fang Xie, Ehsan Zakeri

Summary: This article presents a robust cascade vision/force approach for controlling industrial robots interacting with unknown workpieces. The approach uses a cascade structure consisting of an inner vision loop and an outer force loop to avoid conflicts between force and vision control. The proposed method also includes an advanced image-based visual servoing compensator and a practical task-based feature extraction method. Experimental tests show the stability and superiority of the proposed approach.

IEEE-ASME TRANSACTIONS ON MECHATRONICS (2022)

Article Computer Science, Information Systems

Optimal Image-Based Task-Sequence/Path Planning and Robust Hybrid Vision/Force Control of Industrial Robots

Bahar Ahmadi, Ehsan Zakeri, Wen-Fang Xie

Summary: In this paper, a novel image-based task-sequence/path planning scheme coupled with a robust vision/force control method is suggested for solving the multi-task operation problem of an eye-in-hand industrial robot interacting with a workpiece. The proposed method provides an optimal task sequence planning scheme and an optimal path planning method to achieve efficient task execution.

IEEE ACCESS (2022)

Proceedings Paper Computer Science, Artificial Intelligence

Robust multi-stage hybrid vision/force control of industrial robots

Bahar Ahmadi, Wen-Fang Xie, Ehsan Zakeri

Summary: This paper presents a novel multi-stage method for robust hybrid vision/force control of industrial robots, utilizing super-twisting sliding mode controller (STSMC) for each stage to improve performance and robustness. The experimental results demonstrate the effectiveness and superiority of the proposed method compared to traditional approaches.

2021 IEEE INTERNATIONAL CONFERENCE ON MULTISENSOR FUSION AND INTEGRATION FOR INTELLIGENT SYSTEMS (MFI) (2021)

Article Engineering, Mechanical

Wheel slip ratio regulation for investigating the vehicle's dynamic behavior during braking and steering input

Ali Shahabi, Amir Hossein Kazemian, Said Farahat, Faramarz Sarhaddi

Summary: This study investigates the dynamic behavior of a vehicle during braking and steering input using the quarter-car model, considering a Sport-Utility Vehicle (SUV) with ABS and nonlinear dynamic equations. An intelligent adaptive fuzzy controller is proposed to regulate the wheel slip ratio optimally for different road conditions, with wheel slip ratio and vehicle longitudinal acceleration as inputs. The study also analyzes the parameters affecting the vehicle's dynamic behavior and stability during braking and steering input.

MECHANICS & INDUSTRY (2021)

Article Engineering, Ocean

Research on ocean-current-prediction-based virtual mooring strategy for the portable underwater profilers

Canjun Yang, Dingze Wu, Puzhe Zhou, Shuyang Ma, Rui Zhou, Xin Zhang, Yang Zhang, Qingchao Xia, Zeliang Wu

Summary: The Argo Global Ocean Observing Network is the preeminent ocean observation network worldwide, but its buoys fail to complete long-term observations in designated sea areas due to their lack of lateral movement. To solve this problem, a portable underwater profiler (PUP) that combines buoy and underwater glider functionalities was developed. The PUP is lightweight, allows for rapid deployment, and enables continuous observation.

APPLIED OCEAN RESEARCH (2024)

Article Engineering, Ocean

Stochastic dynamic analysis of floating bridges exposed to inhomogeneous and irregular waves

Knut Andreas Kvale, Bernt Leira, Ole Oiseth

Summary: As future floating bridges become longer, the chance of encountering significant inhomogeneous wave conditions increases. This paper presents an approach to model these conditions using generalized harmonic decomposition and applies it to a conceptual floating bridge model in Norway. The paper focuses on frequency-domain simulation and highlights the importance of considering the coherency in swell sea conditions.

APPLIED OCEAN RESEARCH (2024)