Trudy SPIIRAN
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Informatics and Automation:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Trudy SPIIRAN, 2019, Issue 18, volume 1, Pages 85–122
DOI: https://doi.org/10.15622/sp.18.1.85-122
(Mi trspy1040)
 

This article is cited in 18 scientific papers (total in 18 papers)

Robotics, Automation and Control Systems

Features of solving the inverse dynamic method equations for the synthesis of stable walking robots controlled motion

A. S. Gorobtsov, A. E. Andreev, A. E. Markov, A. V. Skorikov, P. S. Tarasov

Volgograd State Technical University (VSTU)
Abstract: The problem of walking robots controlled motion synthesis by the inverse dynamic method is considered. The inverse dynamic method equations are represented by the methods of multibody system dynamics as free bodies motion equations and constraint equations. The variety of constraint equations group are introduced to specify the robot gait, to implement the robot stability conditions and to coordinate specified robot links movement. The key feature of the inverse dynamic method equations in this formulation is the presence of the second derivatives of the system coordinates in the constraint equations expressing the stability conditions that ensure the maintenance of the vertical position by the robot. The determined solution of such equations in general case is impossible due to the uncertainty of the initial conditions for the Lagrange multipliers. An approximate method for solving the inverse dynamic without taking into account the inertial components in the constraint equations that determine the stability of the robot is considered. Constraint equations that determine the coordinate movement of individual robot links and required for unique problem solving based on approximate equations are presented. The implementation of program motion synthesis methods in the control system of the humanoid robot AR-600 is presented. The comparison of theoretical and experimental parameters of controlled motion is performed. It has been established that with the achieved high accuracy of the robot links tracking drives control with an error of several percent, the indicators of the robot's absolute movements, in particular, the angles of roll, yaw and pitch, differ from the programmed by 30–40%. It’s shown that proposed method allows to synthesize robot control in quasistatic mode for different movement types such as moving forward, sideways, walking on stairs, inclinations etc.
Keywords: robotics, walking robots, control, humanoid robots, inverse dynamic, androids.
Received: 08.10.2018
Bibliographic databases:
Document Type: Article
UDC: 681.51
Language: Russian
Citation: A. S. Gorobtsov, A. E. Andreev, A. E. Markov, A. V. Skorikov, P. S. Tarasov, “Features of solving the inverse dynamic method equations for the synthesis of stable walking robots controlled motion”, Tr. SPIIRAN, 18:1 (2019), 85–122
Citation in format AMSBIB
\Bibitem{GorAndMar19}
\by A.~S.~Gorobtsov, A.~E.~Andreev, A.~E.~Markov, A.~V.~Skorikov, P.~S.~Tarasov
\paper Features of solving the inverse dynamic method equations for the synthesis of stable walking robots controlled motion
\jour Tr. SPIIRAN
\yr 2019
\vol 18
\issue 1
\pages 85--122
\mathnet{http://mi.mathnet.ru/trspy1040}
\crossref{https://doi.org/10.15622/sp.18.1.85-122}
\elib{https://elibrary.ru/item.asp?id=37286133}
Linking options:
  • https://www.mathnet.ru/eng/trspy1040
  • https://www.mathnet.ru/eng/trspy/v18/i1/p85
  • This publication is cited in the following 18 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Informatics and Automation
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024