Robust adaptive controller design for excavator arm
Author(s) -
Nga ThiThuy Vu
Publication year - 2019
Publication title -
iaes international journal of robotics and automation (ijra)
Language(s) - English
Resource type - Journals
eISSN - 2722-2586
pISSN - 2089-4856
DOI - 10.11591/ijra.v8i4.pp293-300
Subject(s) - excavator , control theory (sociology) , controller (irrigation) , matlab , computer science , lyapunov stability , control engineering , stability (learning theory) , lyapunov function , scheme (mathematics) , engineering , mathematics , control (management) , artificial intelligence , physics , biology , machine learning , nonlinear system , mechanical engineering , agronomy , quantum mechanics , mathematical analysis , operating system
This paper presents a robust adaptive controller that does not depend on the system parameters for an excavator arm. Firstly, the model of the excavator arm is demonstrated in the Euler-Lagrange form considering with overall excavator system. Next, a robust adaptive controller has been constructed from information of state error. In this paper, the stability of overall system is mathematically proven by using Lyapunov stability theory. Also, the proposed controller is model free then the closed loop system is not affected by disturbances and uncertainties. Finally, the simulation is executed in Matlab/Simulink for both presented scheme and the PD controller under some conditions to ensure that the proposed algorithm given the good performances for all cases.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom