Optimal High-Order Filter Design for Minimizing Position Error in HDD Benchmark Problems

To achieve higher storage capacities in Hard Disk Drives (HDDs), it is essential to enhance the positioning accuracy of the magnetic head, which is responsible for reading and writing data. This research aims to design an optimal high-order filter for the positioning control system to minimize the positioning error of the magnetic head in HDDs. In this study, high-order filters are constructed by sequentially combining second-order filters in parallel. A parameter optimization problem was also formulated for the high-order filter to further improve positioning accuracy, and a genetic algorithm was employed to solve it. The effectiveness of the proposed method was verified through simulations using the HDD benchmark problem developed by the IEEJ Industry Applications Society. The results confirmed that incorporating high-order filters into the HDD positioning control system significantly improved positioning accuracy.