Reverse-engineering RLC networks with in-circuit measurement

The hands-on side of electrical engineering is still taught using solderless breadboards. To lower the learning curve and improve the utility of solderless breadboards, I have designed and implemented a prototype that draws schematic diagrams of passive circuits that are built on a breadboard. The system reverse engineers circuits by means of a network sensing algorithm, which iteratively grounds and excites nodes with voltage sources, and subsequently measures the resulting currents and voltages in the network. Both a software simulation and a hardware implementation were built to test the network sensing algorithm. The sofware system is capable of reverse-engineering arbitrarily sized RLC networks with some caveats regarding high-q parallel RLC networks. The hardware system is able to accurately detect resistive and capacitive networks with eight nodes, though current hardware limitations significantly reduce the precision of measurment. The performance of the hardware system was analyzed and solutions to many of the measurement issues were found. A technique for surface-mount soldering breadboards to PCBs is presented in this thesis.

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2015

Author dc:creator

• Gordonson, Joshua Michael

Advisor dc:contributor.advisor

• Gerald Jay Sussman.

• Electrical Engineering and Computer Science.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/105988

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/105988