A comparison study between a resonant filter and an adaptive feed-forward cancellation for implementation of a control system

In this paper, we present a comparison study between a resonant filter and an adaptive feed-forward cancellation (AFC). To compensate for disturbances, the resonant filter decreases the gain of the sensitivity function by using the vector locus. The adaptive learning method adjusts the coefficients of the AFC to compensate for a disturbance. Each method does not make difference with respect to performance for disturbance compensation. However, important factors for constructing the control system should be also considered to implement for a control systems in addition to the performance. This paper introduces comparison study between the resonant filter and the AFC for implementation of a control system. The simulations of the disturbance compensation were conducted using an HDD Benchmark Problem as a case study. Engineers can decide which control theory is better to be implemented in the control system with reference to this study.