Identification and control of electro-mechanical systems using state-dependent parameter estimation

@article{Janot2017IdentificationAC,
  title={Identification and control of electro-mechanical systems using state-dependent parameter estimation},
  author={Alexandre Janot and Peter C. Young and Maxime Gautier},
  journal={International Journal of Control},
  year={2017},
  volume={90},
  pages={643 - 660}
}
ABSTRACT This paper addresses the important topic of electro-mechanical systems identification with an application in robotics. The standard inverse dynamic identification model with least squares (IDIM-LS) method of identifying models for robotic systems is based on the use of a continuous-time inverse dynamic model whose parameters are identified from experimental data by linear LS estimation. The paper describes a new alternative but related approach that exploits the state-dependent… 
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References

SHOWING 1-10 OF 50 REFERENCES

A New Closed-Loop Output Error Method for Parameter Identification of Robot Dynamics

A validation experiment on a two degree-of-freedom direct drive rigid robot shows that the proposed new method called DIDIM, a closed-loop output error method where the usual joint position output is replaced by the joint force/torque, is efficient.

Global Identification of Joint Drive Gains and Dynamic Parameters of Robots

Off-line robot dynamic identification methods are based on the use of the Inverse Dynamic Identification Model (IDIM), which calculates the joint forces/torques that are linear in relation to the…

An instrumental variable approach for rigid industrial robots identification

Modeling and identification for high-performance robot control: an RRR-robotic arm case study

This paper explains a procedure for getting models of robot kinematics and dynamics that are appropriate for robot control design and gives particular attention to the design of identification experiments and to online reconstruction of state coordinates.

Physical parameter identification of a one-degree-of-freedom electromechanical system operating in closed loop

A Generic Instrumental Variable Approach for Industrial Robot Identification

A generic IV approach suitable for robot identification that validates the inverse and direct dynamic models simultaneously, is not sensitive to initial conditions, and converges rapidly is proposed.

Dynamic Model Identification for Industrial Robots

Experimental results on an industrial robot manipulator show that the estimated dynamic robot model can accurately predict the actuator torques for a given robot motion.

MIMO Closed Loop Identification of an Industrial Robot

This paper proposes a practical multi-input multi-output (MIMO) closed loop parameters identification procedure for robot manipulators. It is based on the weighted least squares (WLS) method, coupled…

Closed-Loop Issues in System Identification

Exciting Trajectories for the Identification of Base Inertial Parameters of Robots

  • M. GautierW. Khalil
  • Engineering
    [1991] Proceedings of the 30th IEEE Conference on Decision and Control
  • 1991
A common way to identify the inertial parameters of robots is to use a linear model in relation to the parameters and standard least-squares (LS) techniques. This article presents a method to…