Abstract
In this paper, a novel control strategy called the active disturbance rejection control (ADRC) is used for trajectory tracking control of a 2-DOF robotic arm manipulator. The manipulator system is a highly nonlinear, dynamically coupled and time-varying system. ADRC is a model-independent control strategy requiring knowledge of only the relative order and the output of the system. The conventional PID controller does not work well in case of highly coupled systems and the sliding mode control shows good dynamic control performance but requires an accurate model of the system. In contrast, ADRC treats coupling and nonlinearity as an external disturbance and provides better results. A second-order optimal tuned linear ADRC with reduced-order observer has been used in this paper for the trajectory tracking of the manipulator system.
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Suhail, S.A., Bazaz, M.A., Hussain, S. (2021). Optimal Tuned Linear Active Disturbance Rejection Control Applied to a 2-DOF Robotic Arm Manipulator. In: Mahapatra, R.P., Panigrahi, B.K., Kaushik, B.K., Roy, S. (eds) Proceedings of 6th International Conference on Recent Trends in Computing. Lecture Notes in Networks and Systems, vol 177. Springer, Singapore. https://doi.org/10.1007/978-981-33-4501-0_62
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DOI: https://doi.org/10.1007/978-981-33-4501-0_62
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