Light source control system
A system and method for controlling an optical light source is provided. A current source drives the light source, while the voltage across and the current through the light source is measured. The voltage and current are converted to digital signals and sent to a neural network, which generates a modeled optical output power of the light source and a modeled value of the optical wavelength. A control circuit receives the modeled optical output power and wavelength and sends a control signal to the current source to minimize the difference between the desired power output and the modeled output power. In addition, a control signal is sent to a Peltier driver to control the temperature of a Peltier cooler in order to increase or decrease the wavelength emitted by a laser diode.
1. An apparatus for controlling an optical light source, comprising:
a light source;
a current source for driving the light source;
means for measuring voltage across the light source;
means for measuring current through the light source;
means for converting the voltage and current to digital signals;
a neural network receiving the digital signals as inputs, the neural network generating a modeled optical output power of the light source; and
a control circuit for receiving the modeled optical output power as an input, and for sending a first control signal to the current source to minimize a difference between a desired power output and the modeled output power.
2. The apparatus of claim 1 further comprising a monitoring photodiode, the output of which is also fed to the neural network.
3. The apparatus of claim 2 further comprising a Peltier driver; and a Peltier cooler driven by the Peltier driver, the neural network generating a modeled value of optical wavelength as a second output, and the control circuit receiving the second output and generating a second control signal that is sent to the Peltier driver to control the Peltier cooler.
4. A method for controlling an optical light source controlled by a current source, comprising the following steps:
generating a set of data through a training period;
training a neural network to develop a model with the set of data;
measuring a voltage across the light source;
measuring a current through the light source;
converting the voltage and current to digital signals;
sending the digital signals to a neural network that generates a modeled optical output power of the light source;
comparing the modeled optical output power with a desired power output; and
sending a control signal to the current source to minimize a difference between the desired power output and the modeled optical output power.
5. The method of claim 4 wherein the set of data is generated by measuring the optical output power of the light source under different conditions of applied voltage, current and temperature of the source.
6. The method of claim 5 wherein the wavelength of the light source is also measured.
7. The method of claim 6 further comprising the step of sending an output of a monitoring photodiode to the neural network.
8. The method of claim 7 wherein the neural network generates a modeled value of optical wavelength as a second output control signal and the method further comprises the steps of
comparing the modeled value of optical wavelength with a desired wavelength to generate a second control signal; and
producing a desired wavelength of light by controlling an ambient temperature with a Peltier cooler controlled by a Peltier driver that receives the second control signal as an input.