Optimization of a hard disk drive servo system using multiobjective genetic algorithm

For a hard disk drive servo system, there are multiple control objectives to be met simultaneously. While some of the objectives are constraint objectives, some of them are simply optimization objectives. In this paper, we describe a new approach for tuning the controller parameters such that the resultant servo system can perform and meet all the requirements. Unlike the Pareto ranking multiobjective genetic algorithm, our approach is able to place higher priority for the constraint objectives than the optimization objectives. Some experimental results are presented