Professor of Mechanical Engineering and Smart Structures, School of Computing Engineering and Mathematics, Western Sydney University, Australia. His research interests cover Industry 4.0, Additive Manufacturing, Advanced Engineering Materials and Structures (Metals and Composites), Multi-scale Modelling of Materials and Structures, Metal Forming and Metal Surface Treatment.
Abstract—In recent years, as robots and humans have started to work together more frequently in the same space, robots must be controlled under the consideration of human safety. For the safety of human, robots must comply with human force. On the contrary, to be robust, robot control requires high impedance against nonhuman disturbances. The proposed controller aims to achieve compliance and high impedance in a control scheme. The proposed structure consists of an integral sliding mode control (ISMC) and a human disturbance observer (HDOB). For compliance, the human force is identified by HDOB and given to ISMC. If the sliding mode dynamics are affected by human disturbances, then compliance with humans is achieved. For high impedance, disturbances outside the human frequency range are decoupled by the ISMC, so robust tracking is achieved. A novel T-S fuzzy DOB is introduced to the ISMC to decrease the maximum nonlinear gain, and this leads to lower chattering by the SMC.
Index Terms—integral sliding mode, disturbance observer, compliance, robust robot control, human-compliance control, T-S fuzzy observer
Cite: Seungkyu Park and Abner Asignacion Jr., "Robust Tracking and Human-Compliance Control Using Integral Sliding Mode Control and T-S Fuzzy Disturbance Observer," International Journal of Mechanical Engineering and Robotics Research, Vol. 7, No. 4, pp. 374-378, July 2018. DOI: 10.18178/ijmerr.7.4.374-378
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