Proceedings IECON '91: 1991 International Conference on Industrial Electronics, Control and Instrumentation
DOI: 10.1109/iecon.1991.239147
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An adaptive force control of redundant manipulator based on joint acceleration controller

Abstract: The paper presents an adaptive force controller to obtain the stable force response independently of the configuration of the redundant manipulator and the stiflness of the object. First, the joint acceleration controller is realized in the joint space. In the manipulator based on the joint acceleration controller, the motion controller in the workspace is constructed by only the consideration of the kinematics. This feature makes the effect of the configuration clear. I n the proposed method, this motion cont… Show more

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Cited by 9 publications
(4 citation statements)
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“…In this section, firstly, although several types of disturbance observer [7][8][9][10][11][12][13][14] have been reported, the manipulator control using the disturbance observer in the operational space which we proposed[l2,13] is analyzed through a two degree of freedom robot as shown in Figure 2. This analysis can also be applied to control systems using other types of observers.…”
Section: Stability and One Design Methodsmentioning
confidence: 99%
“…In this section, firstly, although several types of disturbance observer [7][8][9][10][11][12][13][14] have been reported, the manipulator control using the disturbance observer in the operational space which we proposed[l2,13] is analyzed through a two degree of freedom robot as shown in Figure 2. This analysis can also be applied to control systems using other types of observers.…”
Section: Stability and One Design Methodsmentioning
confidence: 99%
“…For example, the simplest function of G(s) is given by (9) This is the second order low pass fil ter whose Bode diagram is shown in Fig This figure shows that IG(jw)1 is nearly unity and 11 -G(j wll is nearly null at lower frequency. On the other hand, the former is nearly null and the latter is nearly unity at higher frequency.…”
Section: Realization Of Robust Control Systemmentioning
confidence: 97%
“…A least-squares estimation which minimizes the weighting error function J(k) is adopted to the identification of the environmen tal stiffness as follows [9];…”
Section: J= Lmentioning
confidence: 99%
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