Study Of High Frequency Electrodeless Lamp Power Source System

The popularization of new energy saving light sources will reduce the electricity consumption for living and production enormously in nowadays low-carbon economy advocated society. So the development of new light sources turns to be very important. High frequency electrodeless discharge lamp is a new generation light source, which has unique advantages comparing to traditional light source, such as energy-saving, environment protecting, long live-span, no strobe light, excellent color rendering etc. However, in China today, high frequency electrodeless lamp is not popularized widely, which can be ascribed to the following reasons:(1)When parameters of some components change because of working environment, such as temperature, the power source system of high frequency electrodeless discharge lamp will be unstable. Many malfunctions turn up, such as strobe light, and low luminous flux, sometimes even cannot be turned on.(2)The output power of electrodeless lamp is limited in small power range, which cannot match with high-voltage sodium lamp.(3)The manufacture cost of electrodeless lamp is still too high, which is many times of the price of common fluorescent light and causes great resistance to popularization.This dissertation studies the soft malfunction of power source system of high frequency electrodeless discharge lamp and presents an improved scheme for electrodeless lamp power source system. The purpose of this design is to solve the stability problem of the power source system. Use the lamp’s working status data to diagnose the lamp’s soft malfunction. Adjusting certain circuit according to the distinguished result to adjust the electrodeless lamp’s working status, and keep the lamp’s luminous flux on a high level.This design presents an improved power factor control (APFC) circuit. Controlled by SCM, the circuit can adjust output voltage on line, and can mesure the power factor on real time. This design use DAGSVM to diagnose the power source system’s soft malfunction, and use genetic algorithm to optimize the parameters to improve the precision of identification. Based on the diagnose result, use power factor control circuit and frequency control circuit to ajust the soft malfunction.