Fuzzy-proportional-integral-derivative-based controller for object tracking in mobile robots

Vuong, Duc-Phuc; Nguyen, Trong-Thang

doi:10.11591/ijece.v13i3.pp2498-2507

Cited by 1 publication

(1 citation statement)

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“…The PID algorithm (Proportional-Integral-Derivative) (Vuong and Nguyen, 2023 ) is a classical control algorithm used for implementing adaptive control systems. The PID algorithm adjusts the controller's output based on the current error, past accumulated error, and rate of change of the error to achieve the desired adjustment of the system's dynamic characteristics (Xu et al, 2023 ).…”

Section: Methodsmentioning

confidence: 99%

Real-time precision detection algorithm for jellyfish stings in neural computing, featuring adaptive deep learning enhanced by an advanced YOLOv4 framework

Zhu,

Feng,

2024

Front. Neurorobot.

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IntroductionSea jellyfish stings pose a threat to human health, and traditional detection methods face challenges in terms of accuracy and real-time capabilities.MethodsTo address this, we propose a novel algorithm that integrates YOLOv4 object detection, an attention mechanism, and PID control. We enhance YOLOv4 to improve the accuracy and real-time performance of detection. Additionally, we introduce an attention mechanism to automatically focus on critical areas of sea jellyfish stings, enhancing detection precision. Ultimately, utilizing the PID control algorithm, we achieve adaptive adjustments in the robot's movements and posture based on the detection results. Extensive experimental evaluations using a real sea jellyfish sting image dataset demonstrate significant improvements in accuracy and real-time performance using our proposed algorithm. Compared to traditional methods, our algorithm more accurately detects sea jellyfish stings and dynamically adjusts the robot's actions in real-time, maximizing protection for human health.Results and discussionThe significance of this research lies in providing an efficient and accurate sea jellyfish sting detection algorithm for intelligent robot systems. The algorithm exhibits notable improvements in real-time capabilities and precision, aiding robot systems in better identifying and addressing sea jellyfish stings, thereby safeguarding human health. Moreover, the algorithm possesses a certain level of generality and can be applied to other applications in target detection and adaptive control, offering broad prospects for diverse applications.

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Section: Methodsmentioning

confidence: 99%