Manipulator trajectory tracking based on adaptive sliding mode control DOI
Haoyi Zhao, Bo Tao, Ruyi Ma

et al.

Concurrency and Computation Practice and Experience, Journal Year: 2022, Volume and Issue: 34(21)

Published: May 24, 2022

Abstract A manipulator is a complex electromechanical system that nonlinear, strongly coupled, and uncertain. Achieving its precise high‐quality trajectory control difficult. Sliding mode (SMC) one of the common methods for manipulators. However, discontinuities in SMC can cause jitter vibration system, leading to reduction performance system. For self‐adaptive capability problem SMC, Dobot magician treated as research object this article. The dynamics equations are established by Lagrange method, simplified model constructed. method sliding proposed. Self‐adaptive parameters added achieve adjustment parameters. In MATLAB/Simulink simulation environment analysis show has better self‐tuning ability tracking than traditional weakens phenomenon existing SMC.

Language: Английский

Detection of dental periapical lesions using retinex based image enhancement and lightweight deep learning model DOI

Vaishali Latke,

Vaibhav Narawade

Image and Vision Computing, Journal Year: 2024, Volume and Issue: 146, P. 105016 - 105016

Published: April 5, 2024

Language: Английский

Citations

3

Improved single shot detection using DenseNet for tiny target detection DOI
Shudi Wang, Manman Xu, Ying Sun

et al.

Concurrency and Computation Practice and Experience, Journal Year: 2022, Volume and Issue: 35(2)

Published: Nov. 6, 2022

Summary As the development of deep learning and continuous improvement computing power, as well needs social production, target detection has become a research hotspot in recent years. However, algorithm problem that it is more sensitive to large targets does not consider feature‐feature interrelationship, which leads high false or missed rate small targets. An method (C‐SSD) based on improved SSD proposed, replaces backbone network VGG‐16 with dense convolution (C‐DenseNet) achieves further feature fusion through fast connections between blocks. The Introduction residuals prediction layer DIoU‐NMS improves accuracy. Experimental results demonstrate C‐SSD outperforms other networks at three different image scales best performance 83. A 8% accuracy PASCAL VOC2007 test set, proving effectiveness algorithm. better balance speed accuracy, showing excellent rapid

Language: Английский

Citations

16

Manipulator trajectory tracking based on adaptive fuzzy sliding mode control DOI
Haoyi Zhao, Bo Tao, Ruyi Ma

et al.

Concurrency and Computation Practice and Experience, Journal Year: 2023, Volume and Issue: 35(8)

Published: Jan. 10, 2023

Summary Sliding mode control is one of the common methods for manipulators, but discontinuity sliding can cause jitter and vibration manipulator system. This article takes Dobot Magician as research object constructs a simplified model dynamics. And adaptive fuzzy method designed in combination with theory, which effectively solves problem torque. In MATLAB/Simulink simulation environment analysis show that proposed good stability, robustness tracking performance. By combining comparing motion time same trajectory PID Studio, hardware experiment results verify feasibility effectiveness method.

Language: Английский

Citations

9

Image Enhancement Method in Underground Coal Mines Based on an Improved Particle Swarm Optimization Algorithm DOI Creative Commons
Lili Dai, Peng Qi, Lu He

et al.

Applied Sciences, Journal Year: 2023, Volume and Issue: 13(5), P. 3254 - 3254

Published: March 3, 2023

Due to the poor lighting conditions and presence of a large amount suspended dust in coal mines, obtained video has problems with uneven low differentiation facial features. In order address these problems, an improved image enhancement method is proposed. Firstly, characteristics underground mine images are analyzed, median filtering selected for noise removal. Then, gamma function fractional operator introduced, algorithm based on particle swarm optimization Finally, several experiments conducted, results show that proposed outperforms classical algorithms, such as MSR, CLAHE HF. Compared original image, evaluation metrics enhanced Yale face images, including average local standard deviation, gradient, information entropy contrast, by 113.1%, 63.8%, 22.8% 24.1%, respectively. Moreover, achieves superior effect simulated environment.

Language: Английский

Citations

8

Manipulator trajectory tracking based on adaptive sliding mode control DOI
Haoyi Zhao, Bo Tao, Ruyi Ma

et al.

Concurrency and Computation Practice and Experience, Journal Year: 2022, Volume and Issue: 34(21)

Published: May 24, 2022

Abstract A manipulator is a complex electromechanical system that nonlinear, strongly coupled, and uncertain. Achieving its precise high‐quality trajectory control difficult. Sliding mode (SMC) one of the common methods for manipulators. However, discontinuities in SMC can cause jitter vibration system, leading to reduction performance system. For self‐adaptive capability problem SMC, Dobot magician treated as research object this article. The dynamics equations are established by Lagrange method, simplified model constructed. method sliding proposed. Self‐adaptive parameters added achieve adjustment parameters. In MATLAB/Simulink simulation environment analysis show has better self‐tuning ability tracking than traditional weakens phenomenon existing SMC.

Language: Английский

Citations

14