Dynamic Reconfiguration Algorithm for Field Programmable Analog Scalable Device Array (FPADA) with Fixed Topology

摘要

The sensor electronics and mixed signal processing are sensitive to the system changes by aging, temperature distribution inside the chip, or additional factors of the external environment. These factors can't effectively be considered in the design phase. For some hardware trimming is done to increase the accuracy of the circuits at a certain temperature, which increase the cost but still can't deal with all the mentioned problems. In this paper, we present a soft computing dynamic reconfiguration algorithm for FPADA dynamically reconfigurable hardware (DRHW) for compensating the temperature distribution, aging, and other environment influences dynamically without changing the main topology of the device, where the topology is done by human or by the synthesis tools. The main advantage of our algorithm is that it keeps the hardware structure, and changes only the dimensions of the model to evolve it with the new environment in order to have a reliable DRHW with a predictable performing. Evolving this hardware is done by evolving the dimensions of parameters of the device by the standard measurement techniques. The objective of the evolution is to optimize the set of all the device parameters. In our experimental work, we developed a working environment for DRHW, and demonstrated it with an operational amplifier for compensating the effect of temperature distribution inside the amplifier, this amplifier is evolved for optimizing selection of relevant amplifier parameters.