Evaluation on LED lighting driving power supply for urban rail vehicles based on adaptive PID algorithm

Area of Science:

• Engineering
• Transportation Technology
• Lighting Systems

Background:

• LED lighting is increasingly used in urban rail vehicles due to its efficiency and energy-saving benefits.
• Existing LED lighting control systems face challenges with power stability, drive chip longevity, and overall system reliability.
• Conventional lighting systems exhibit poor stability and limited lifespan, necessitating advanced solutions.

Purpose of the Study:

• To analyze the unique characteristics and functional modules of LED driving power supplies for rail vehicles.
• To optimize the LED lighting control system for urban rail vehicles by addressing the limitations of conventional systems.
• To enhance the stability, efficiency, and performance of LED lighting in rail transit environments.

Main Methods:

• Analysis of LED lighting causes and disadvantages in rail vehicles.
• Functional module analysis of LED driving power supply.
• Optimization of the LED lighting control system using an adaptive Proportional Integral Differential (PID) algorithm.

Main Results:

• The optimized LED lighting control system demonstrated a 21.2% improvement in brightness acquisition quality.
• The lighting control effect showed an 18% enhancement compared to traditional control systems.
• The adaptive PID algorithm improved power stability, feedback accuracy, and processing speed.

Conclusions:

• The selection and design of LED driving power significantly impact the lighting effect and performance in rail vehicles.
• The adaptive PID algorithm offers a superior solution for LED lighting control in urban rail transit.
• Optimized LED lighting control systems are crucial for ensuring stable, efficient, and high-quality illumination in rail vehicles.