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Article http://dx.doi.org/10.26855/ea.2023.10.008

Improvement of Control Strategy for Optoelectronic Sensor Tracking System

Lili Wang

Suzhou Institute of Industrial Technology, Suzhou, Jiangsu, China.

*Corresponding author: Lili Wang

Published: November 22,2023

Abstract

With the continuous expansion of the application range of optoelectronic sensors, there is a need for improvement in the control strategies for optoelectronic sensor tracking systems. In this study, fuzzy logic control algorithms and neural network algorithms are employed, along with the integration of various control strategies, to improve the control performance of the tracking systems. The fuzzy logic control algorithm utilizes fuzzy sets and fuzzy inference to handle complex inputs with uncertainty, thereby optimizing the system's responsiveness. On the other hand, the neural network algorithm enhances the performance and adaptability of the control system by training models and learning from data. Additionally, this paper provides insights into future development trends, including the application of intelligent technologies, the development of new sensors, and system integration and optimization. These improvements and trends will contribute to breakthroughs and advancements in control strategies for tracking systems, thereby promoting the application and progress of optoelectronic sensor technology.

References

Cheng, X., Liu, Y., & Chen, S. (2023). Design of active inhalation smoke detection device based on ADPD188BI sensor. Modern Electronic Technology, 2023, 46(17), 139-143.

Ding, H. (2023). Application and development trends of optoelectronic sensors in automotive engineering. Light Sources & Illumination, 2023(07), 86-89.

Huang, X., Zeng, M., Wang, F., et al. (2023). Progress in the application of photoelectrochemical biosensors in pesticide residue detection. Shandong Chemical Industry, 2023, 52(12), 78-81.

Liang, B., & Dai, X. (2023). Model design of multi-sensor train speed and positioning system based on SCADE. Control and Information Technology, 2023(05), 113-120.

Shi, L., Guo, H., & Xu, Q. (2023). Performance batch testing system for toggle-type optoelectronic sensors. Shanxi Electronic Technology, 2023(04), 33-36.

Wang, Y., & Liu, J. (2023). Filament defect detection technology based on dual-sensor fusion. Textile Equipment, 2023, 50(05), 69-72.

How to cite this paper

Improvement of Control Strategy for Optoelectronic Sensor Tracking System

How to cite this paper: Lili Wang. (2023). Improvement of Control Strategy for Optoelectronic Sensor Tracking System. Engineering Advances3(5), 433-437.

DOI: http://dx.doi.org/10.26855/ea.2023.10.008