ArticleFrontiers in neurorobotics2022
Control of Time Delay Force Feedback Teleoperation System With Finite Time Convergence.
Article in Frontiers in neurorobotics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Integrated machine learning for modeling bearing capacity of shallow foundations.Scientific reports · 2024Article
- An efficient algorithm for resource optimization in IRS-mmWave-NOMA B5G wireless networks.Heliyon · 2024Article
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- Sub-Surface Defect Depth Approximation in Cold Infrared Thermography.Sensors (Basel, Switzerland) · 2022Article
- An Improved Chicken Swarm Optimization Algorithm for Solving Multimodal Optimization Problems.Computational intelligence and neuroscience · 2022Article
- The Fusion Application of Deep Learning Biological Image Visualization Technology and Human-Computer Interaction Intelligent Robot in Dance Movements.Computational intelligence and neuroscience · 2022Article
- Classification of Marine Mammals Using the Trained Multilayer Perceptron Neural Network with the Whale Algorithm Developed with the Fuzzy System.Computational intelligence and neuroscience · 2022Article
- Intelligent Correction Method of Shooting Action Based on Computer Vision.Computational intelligence and neuroscience · 2022Article
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Authors and funding
7 authors.
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Abstract
In order to make the teleoperation system more practical, it is necessary to effectively control the tracking error convergence time of the teleoperation system. By combining the terminal sliding mode control method with the neural network adaptive control method, a bilateral continuous finite time adaptive terminal sliding mode control method is designed for the combined teleoperation system. The Lyapunov theory is used to analyze the stability of the closed-loop system, and the position tracking error is able to effectively converge in time. Finally, the effectiveness of the proposed control scheme is verified by MATLAB Simulink numerical simulation, and the numerical analysis of the results shows that the method has better system performance. Compared with the traditional two-sided control method (TPDC) of PD time-delay teleoperation system, the control method in this paper has good performance, improves stability, and makes steady-state errors smaller and better tracking.
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