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Journal of Marine Science and Technology

, Volume 23, Issue 4, pp 937–949 | Cite as

PD like fuzzy logic control of an autonomous underwater vehicle with the purpose of energy saving using \({H_\infty }\) robust filter and its optimized covariance matrices

  • Abbas Marvian MashhadEmail author
  • Seyed Kamal-e-ddin Mousavi Mashhadi
Original article
  • 202 Downloads

Abstract

In this paper, new methods have been utilized to design and implement PD like fuzzy controllers for naval postgraduate school autonomous underwater vehicle. One of the main challenges for appropriate performance in the fuzzy controllers is to determine the optimal place for the membership functions for each inputs and outputs. Owing to the time variable dynamics, experimental knowledge or offline tuning with dynamic model cannot solve this problem correctly. The proposed method used \({H_\infty }\) robust filter with optimized covariance matrices for optimization of the membership functions of the designed controllers for heading and depth channels for the first time. Advantages of new investigated method are great convergence velocity and robustness against uncertainties of model and surrounding environment. In simulation results, the proposed method has been compared with extended Kalman filter (EKF), as another optimization approach. Results demonstrate that proposed method has impressive effects on tracking the desired path with dramatical decline in control efforts, which have crucial role in reducing energy consumption in practice, whereas the EKF simply leave its optimality when applying the real world conditions. Also, practical way for implementing designed controllers, multivariable regression analysis has been used. Statistical survey shows, fuzzy controllers can be easily substituted with obtained multivariable polynomials to be implemented in typical microcontrollers or other non-fuzzy hardware. As regarding to stability, passivity approach has been used to proof asymptotic stability of new designed controllers.

Keywords

Autonomous underwater vehicle Fuzzy controller \({H_\infty }\) robust filter Multivariable regression analysis Covariance matrices Passivity stability 

Abbreviations

AUV

Autonomous underwater vehicle

NPS

Naval postgraduate school

TSK

Takagi–Sugeno–Kang

EKF

Extended Kalman filter

GA

Genetic algorithm

SISO

Single input–single output

SFC

Sectorial fuzzy controller

PID

Proportional–integral–derivative

PD

Proportional–derivative

SSE

Sum of squared error

RMSE

Root-mean-square error

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Copyright information

© JASNAOE 2018

Authors and Affiliations

  • Abbas Marvian Mashhad
    • 1
    Email author
  • Seyed Kamal-e-ddin Mousavi Mashhadi
    • 2
  1. 1.Faculty of Electrical EngineeringKhorasan Institute of Higher EducationMashhadIran
  2. 2.Faculty of Electrical EngineeringIran University of Science and TechnologyTehranIran

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