Alhassan, Ahmad Bala and Zhang, Xiaodong and Shen, Haiming and Xu, Haibo and Hamza, Khaled and Masengo, Gilbert (2022) Precise Motion Control of a Power Line Inspection Robot Using Hybrid Time Delay and State Feedback Control. Frontiers in Robotics and AI, 9. ISSN 2296-9144
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Abstract
Intelligent robotic inspection of power transmission lines has proved to be an excellent alternative to the traditional manual inspection methods, which are often tedious, expensive, and dangerous. However, to achieve effective automation of the robots under different working environments, the dynamic analysis and control of the robots need to be investigated for an efficient inspection process. Nonetheless, the application of control techniques for the position, speed and vibration control of these robots has not been explored in detail by the existing literature. Thus, an approach for precise motion control of the sliding inspection robot is presented in this paper. The main contribution of the study is that the chattering problem associated with the traditional command shaping time delay control (TDC) was minimized by smoothing the chattered input signal. Then, the improved control (iTDC) which is effective for oscillation control is hybridized with a pole placement based feedback control (PPC) to achieve both position and the sway angle control of the robot. The nonlinear and the linearized models of the sliding robot were established for the control design and analysis. Three parameters of the robot, namely, the length of the suspended arm, the mass of the payload, and the friction coefficient of different surfaces, were used to assess the robustness of the controller to model uncertainties. The iTDC + PPC has improved the velocity of TDC by 201% and minimizes the angular oscillation of PPC by 209%. Thus, the results demonstrate that the hybridized iTDC + PPC approach could be effectively applied for precise motion control of the sliding inspection robot.
Item Type: | Article |
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Subjects: | Institute Archives > Mathematical Science |
Depositing User: | Managing Editor |
Date Deposited: | 23 Jun 2023 04:32 |
Last Modified: | 17 Oct 2023 04:42 |
URI: | http://eprint.subtopublish.com/id/eprint/2555 |