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In this paper, a novel extremum-seeking control algorithm called fractional order extremum-seeking control is analyzed and benchmarked against the traditional integer order one. Utilizing fractional order operators in extremum-seeking scheme improves the convergence speed, robustness, and performance of this method without employing additional blocks. Using averaging model, the detailed analysis of...
This paper suggests a pre-filtering and head-dependent adaptive feed-forward (AFF) control scheme for vibration compensation in hard-disc-drive (HDD) servo system. First, an AFF algorithm is designed and implemented for the linear vibration compensation in the servo system. In order to improve the vibration compensation performance significantly, a pre-filtering process is added in the AFF scheme...
Iterative Learning control (ILC) is a powerful control concept that iteratively improves the behaviors of processes that are repetitive in nature. A new and systematic design of the PD iterative learning control has been presented based upon frequency domain of plant. For design specifications, including the convergence margin and cut-off frequency which is determined by useful input signal, a proper...
Iterative Learning control (ILC) is a powerful control concept that iteratively improves the behaviors of processes that are repetitive in nature. A new and systematic frequency-domain approach of the PD iterative learning control has been presented based upon frequency domain of continuous model. For design specifications, including the convergence margin and cut-off frequency which is determined...
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