Optimization of CMOS based Analog Circuit Using Particle Swarm Optimization Algorithm

ABSTRACT We know that the world is basically analog in nature so that design of CMOS analog circuits are very significant in electronic system design. Day by day design complexity of electronic circuit is increased. So that the optimization procedures should be automatic using great precision. The key problems concern with electronic design automation are robustness and cost. Usually, optimization is a very exciting and time consuming task with many conflicting benchmarks and a wide range of design parameters. In this graft Particle swarm optimization (PSO) is presented as an effective process to explore the search space and to handle constrained optimization difficulties. Effectiveness of PSO algorithm is tested with some standard benchmark function. PSO algorithm has been used for the optimum design of CMOS analog circuits with high optimization skill in small computational time. Parameters values obtained from PSO algorithm are verified using spice circuit simulator. In this work, C code of PSO algorithm has been interfaced with Ngspice circuit simulator for circuit optimization. In this effort different CMOS based analog circuits like CMOS triple cascode current mirror, CMOS voltage divider, CMOS cascode amplifier and CMOS differential amplifier with current mirror load are optimized using different CMOS technologies.