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Impedance controllers for electri - driven robots

Jezierski E., Gmerek A.

Journal of Automation Mobile Robotics and Intelligent Systems

2013

Vol. 7, No. 4

13--20

This article presents a proposal of impedance controller, which is able to infulence the compliance of a robot, based on information obtained from a lowlevel controller about robot interaction with the environment. The proposed system consists of a lowlevel controller with proximity sensor, based on which mechanical impedance is adjusted. The intention of the creators was to develop a universal impedance regulator in the sense of hardware and software layers. Because of TCP/IP architecture, the designed regulator can be easily adapted to different robot controllers. Experiments were conducted on a real 1-DOF manipulator driven by BLDC motor, as well as using simulation on a 2DOF planar robot.

Active Disturbance Rejection Control of a 2DOF manipulator with significant modeling uncertainty

Przybyła M., Kordasz M., Madoński R., Herman P., Sauer P.

Bulletin of the Polish Academy of Sciences. Technical Sciences

2012

Vol. 60, nr 3

509-520

This paper presents a practical verification of an Active Disturbance Rejection Control (ADRC) method in governing a multidimensional system. The experiments were conducted on a two degrees of a freedom planar manipulator with only partial knowledge about the mathematical model of the plant. This multi input multi output system was controlled with a set of two, independent, single input single output ADRC controllers, each regulating one of the manipulator degree of freedom. Modeling uncertainty (nonlinearities, cross-coupling effects, etc.) and external disturbances were assumed to be a part of the disturbance, to be estimated with an observer and cancelled on-line in the control loop. The ADRC robustness was experimentally compared with the results obtained from using two decentralized, classic PID controllers. Both control methods were tested under various conditions, e.g. changing the inertial parameters of the plant. Significantly better results, in terms of parametric robustness, have been reported for the ADRC approach.