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

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

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

Abstract 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 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 canceled 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

The use of the haptic konsol to control of medical robot

W pracy przedstawiono wykorzystanie konsoli haptycznej Omega 7 do sterowania robotem KUKA LWR 4+ z zamontowanym uchwytem igły punkcyjnej. Manipulator KUKA zastosowano do usuwania usznopochodnego ropnia mózgu. W pierwszej części pracy przedstawiono prosty symulator, w którym do przeprowadzenia iniekcji w wirtualny ropień mózgu oraz pobrania płynu z jego wnętrza zastosowano konsolę haptyczną Omega 7. W dalszej części pracy przedstawiono stanowisko badawcze z robotem KUKA LWR 4+ i konsolą Omega 7 oraz pierwsze testy przeprowadzenia operacji z wykorzystaniem modelu czaszki.This paper presents the use of Omega 7 haptic console to control of KUKA LWR 4+ robot with integrated handle of puncture needles. KUKA manipulator was used to remove otogenic brain abscess. In the first part of the paper presents a simple simulator in which Omega 7 haptic consol was used to carry out injection into a virtual brain abscess and the withdrawal of fluid from inside. In the following paper presents a experimental set-up with the KUKA robot and haptic console and the first test of the operation using the model of skull