Raytheon Company

Hughes Aircraft Company

John K Doughty

Jack Y Josefowicz

Clifford W Meyers

Gerald Brand

A low cost electrical network analyzer that provides waveform predictions in the time domain of a device for any electrical signal stimuli and with any load. In a preferred embodiment, input, output and stimulating source waveform recorders are used to record tables of time domain data (voltage waveforms) derived by stimulating the device under test with and without an output load coupled thereto. The tables of time domain data are representative of input and output signatures of the device. The tables are stored in a processor and are processed by way of a computer-implemented time domain network analyzer to produce sets of complex parameters as a function of time that are representative of the device. The parameters thus comprise a model of the analyzed device. The computer-implemented analyzer includes a data acquisition and emulator device (or software) that embodies mathematical equations describing particular electrical networks and that computes or measures input and output voltage waveforms of the device. The input and output voltage waveforms are stored in input tables and are subsequently used to calculate electrical parameters of the device. A modeling means (or software) is used to process the input and output voltage waveforms using discrete LaPlace transforms and for calculating the electrical network parameters of the device. A prediction means (or software) is used to evaluate how the device responds to input signals applied thereto. The prediction means computes transfer functions (voltage versus time graphs or tabular listings) for the device using the electrical network parameters and user defined input and output impedance values of the device. In addition, the prediction means translates data contained in the transfer functions into the frequency domain to provide amplitude and phase data versus time for the device. A display is coupled to the prediction means for displaying the voltage versus time graphs or tabular listings and amplitude and phase versus time data of the device.

Electrical network modeling tool and analyzer

Systems and methods that use a CW Doppler radar to monitor paint particle velocities as they are sprayed from a paint gun to optimize the application of sprayed paint onto the object, and provide a closed loop spray painting system and paint spraying method that controls the application of paint in real time using data generated by the radar. The Doppler radar and a signal analyzer are used to analyze the Doppler return signals and display data indicative of the velocity of the paint particles. The data may be used by an operator to manually adjust the paint spray system. In addition, the spectrum analyzer may be used to generate and couple control signals to the paint spray system to provide for closed loop feedback control of thereof. One method comprises the following steps. Spraying paint particles toward an object that is to be painted using a paint spray gun. Radiating Doppler radar signals at the paint particles that are moving toward the object. Receiving backscattered Doppler shifted radar returns from the moving paint particles. Processing the received backscattered Doppler shifted radar returns to produce data indicative of the velocity of the paint particles. Displaying the data indicative of the velocity of the paint particles. This method unobtrusively and remotely measures paint particle velocity and velocity distribution. By additionally generating control signals in response to the data, the paint spray system is controlled.

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Redondo Beach, CA, United States of America

John K Doughty