Control of mobile robot
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This paper proposes the design of a neural network controller based on a sample controller for controlling the trajectory-tracking motion of a differential drive mobile robot (DDMR). Firstly, the trajectory tracking model for DDMR is established based on position error. Next, a perceptron neural network is designed with three hidden layers to control the trajectory tracking of DDMR.
13p dianmotminh02 03-05-2024 7 5 Download
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Research Objective: Research and propose a novel adaptive trajectory tracking algorithm for FWOMR ‘s nonlinear uncertain model which is influenced by the change of robot parameters and the effect of noise when operating on another plane. Construct the physical model of FWOMR and the controller based on the microchip and embedded programming technique to experiment with the proposed algorithms.
27p extraenglish 24-05-2021 24 6 Download
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Research and propose a novel adaptive trajectory tracking algorithm for FWOMR ‘s nonlinear uncertain model which is influenced by the change of robot parameters and the effect of noise when operating on another plane; construct the physical model of FWOMR and the controller based on the microchip and embedded programming technique to experiment with the proposed algorithms.
27p capheviahe27 23-02-2021 8 3 Download
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Research and propose a novel adaptive trajectory tracking algorithm for FWOMR ‘s nonlinear uncertain model which is influenced by the change of robot parameters and the effect of noise when operating on another plane; construct the physical model of FWOMR and the controller based on the microchip and embedded programming technique to experiment with the proposed algorithms.
27p capheviahe27 23-02-2021 13 5 Download
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Researching methods of controlling pan-tilt tracking moving target using image information from 2 cameras with many uncertain parameters. Developing algorithms for controlling integrated system include mobile robot, pan-tilt and two cameras tracking moving targets.
27p gaocaolon6 30-07-2020 76 4 Download
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The objective of the thesis is to propose some new control methods to compensate for the negative effects of pattern uncertainty, external noise and wheel slip. Analyze and build dynamic and kinetic models of mobile robots when model uncertainties exist. Demonstrating the correctness and effectiveness of new control methods by the Lyapunov stability standard and Barbalat lemma. Advanced domestic and foreign control methods for mobile robots in the presence of uncertainty models, external noise, and wheel slip. Then propose new control methods.
26p xacxuoc4321 09-07-2019 38 3 Download
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The thesis aims to propose some control techniques for mobile target Robot-camera. After that, I studied some of the torque control techniques of joints for the Robot-camera system sticking to the mobile target and the Robot-camera system, paying attention to the motivating motor sticking to the mobile target. Finally, the author also proposed some control algorithms for Robotic-camera arm system with irregular model, external noise and preventing system degradation, using nonlinear sliding controller (TSMC) in combination with Artificial neural networks to estimate uncertain numbers.
31p xacxuoc4321 09-07-2019 27 2 Download