Research On Optimal Cntrol Of High-speed Rail Passenger Car LED Lighting Technology

High-speed rail passenger cars have become increasingly important due to accelerated economic development and exchanges between personnel.It uses many new technologies to improve the comfort of the ride,and uses LEDs in lighting instead of traditional fluorescent lamps that are polluting and energy-intensive.However,there is still a lack of intelligent automatic control of LEDs.Aiming at the problems that LEDs on rail passenger cars cannot automatically adjust with the environment and color decay,this paper carried out research on the optimization control of LED lighting technology for high-speed rail passenger cars,hoping to improve the adaptive adjustment capability of the control system.This solution wants to realize the automatic adjustment of the LED with the changes of the environment.Through the study and study of the LED luminescence principle and the photoelectric characteristics,it is known that the LED is a current-type device and needs to be driven by low-voltage direct current.Compare various connection methods of LED,and choose PWM driving method in combination with the purpose of experiment.Design the overall work plan and analyze the composition of the control system.Select STM32f103 as the central controller to receive and send control commands.Design the LED drive power supply,use the DC 110 V voltage as the initial power,design the step-down circuit to supply power to the LED,and introduce the PWM signal to control the conduction frequency of the switching device in the circuit to achieve pulse control.The driving power circuit is designed,and the designed driving power circuit is simulated.The driving circuit and LED are modeled as controlled objects,and the least square method is used to simplify the calculation of the transfer function in the discrete domain.Use three-channel PWM to adjust the RGB three-color duty cycle to achieve mixed light toning,determine the functional relationship between the duty cycle and light intensity,the calculation formula of chromaticity coordinates,and derive the calculation formula of the three-color duty cycle.The traditional incremental PID algorithm is transformed through a single neuron model,and the single neuron adaptive PID algorithm is derived according to the learning rules,and the transfer function is processed as the input function of the control algorithm.It can carry out stable and fast adjustment control.Finally,the hardware equipment was built,and the light adjustment experiment was conducted to compare the set LED expected reference value and the measured LED value.Measure the chromaticity coordinates and light intensity during toning,calculate the three-color duty cycle,and then use the duty ratio to calculate the theoretical light intensity and chromaticity coordinates compared with the measured values.