Fault Tolerant Circuit Design Using Evolutionary Algorithms

With the rapid development of semiconductor technology and the increasing proliferation of emission sources, digital circuits are frequently used in harsh electromagnetic environments. Electrostatic Discharge (ESD) interferences are gradually gaining prominence, resulting in performance degradations, malfunctions and disturbances in component or system level applications. Conventional solutions to such problem are shielding, filtering and grounding. This paper presents an evolvable hardware platform for the automated design and adaptation of a motor control circuit. The platform uses EHW to automate the configuration of FPGA dedicated to the implementation of the motor control circuit. The ability of the platform to adapt to certain number of faults was investigated through introducing single logic unit fault and multi-logic unit faults. Results show that the functionality of circuit can be recovered through evolution. It also shows that the placement of faulty affect the ability of GA to evolve correct circuit, and the evolutionary recovery ability of the circuit descends with the number of fault units increasing.