New digital differential impedance transducer announced

29th March 2018
Source: Kaman
Posted By : Lanna Cooper
New digital differential impedance transducer announced

The Measuring Division of Kaman Precision Products has announced the release of a new eddy current measurement system, the Digital Differential Impedance Transducer (DDIT). The DDIT is designed to provide a digital interface for high speed eddy current measurement systems, with resolution in the micro-inch range, at bandwidths as high as 60kHz. It is suitable for use in applications for fast steering mirrors, magnetic bearing active control, shaft vibration, image stabilisation, and adaptive optics. 

Using a standard 9D connector for reading data, power, and control signals, the system operates from a single power supply with a voltage range of 8-28V.

Kaman’s custom sensors, signal processing, analogue to digital converter, and custom calibration system are used to deliver each high precision Digital DIT sensor system. The DDIT is available in three configurations: The Digital System is designed to interface directly to an embedded controller with a master Serial Peripheral Interface (SPI) bus.

The ANA (analogue) system provides linear analogue voltage, with a full range output signal of 0-5VDC with a null position of 2.5VDC. The FE System is designed for Field-Programmable Gate Array (FPGA) interface for high speed operation, with data rates as high as 128kHz, 48 bits of data, 60kHz bandwidth, and no internal firmware.

Kaman sensors are designed and tuned for specific applications. The DDIT system utilises two matched sensor pairs for optimum operation for each channel. The input signals are filtered and scaled to provide optimum operation, remove common mode noise, and provide a drive signal. The signal processing also provides digital filtering as part of the signal conditioning to reduce signal noise.

Kaman’s Digital DIT system samples data at eight times the data rate. The oversampling provides higher resolution at the defined data rate. This results in signal resolution that is eight times better than a system sampling at the Nyquist rate.


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