Figure 10 | Scientific Reports

Figure 10

From: Learning-based cable coupling effect modeling for robotic manipulation of heavy industrial cables

Figure 10The alternative text for this image may have been generated using AI.

Control structure of the cable model based DRSMC framework. \({{\varvec{q}}}_{d}\) is the given trajectories of desired positions; \({\stackrel{\sim }{{\varvec{q}}}}_{d}, {\dot{\stackrel{\sim }{{\varvec{q}}}}}_{d}, {\ddot{\stackrel{\sim }{{\varvec{q}}}}}_{d}\) are the actual reference trajectories generated using the tracking differentiator; \({{\varvec{q}}}_{a}, {\dot{{\varvec{q}}}}_{a}\) are the joint angles and joint velocities of robot, respectively; \({{\varvec{z}}}_{1}, {{\varvec{z}}}_{2}, {{\varvec{z}}}_{3}\) are the augmented system states generated using the extended state observer25; \({{\varvec{\tau}}}_{c}\) is the feedback control torque; \({{\varvec{\tau}}}_{fw}\) is the feedforward control torque; \({{\varvec{\chi}}}_{0}\) is the measurement states of the cable and \({{\varvec{\chi}}}_{c}\) is the generated cable representation for the cable effect model.

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