Sets separation is accomplished for specific values of the reference signal.
The feedforward part of the controller should drive the system output to the vicinity of the reference signal.
Globally, the results show that, regardless of the reference signal, both descriptors are sensitive to the tooth fillet crack and sharply react to tooth breakage.
The proposed controller guarantees that the system output converges to a small neighborhood of the reference signal and all the signals in the closed-loop system remain bounded.
The optimization of the modeling loss results in a special binary form of the reference signal, where the switching condition can be computed via a specially formed filter.
The proposed controller exploits the spire-wise narrowband frequency content of the reference signal, enabling very high speed and accurate positioning.
Two parameters can be tuned to obtain robustness against speed and magnitude of the reference signal variations: adaptation gain, and derivative order of the adjustment rule.
Finally, the proposed PI controller performance is verified through extended simulation and experimental results under rapid changes of the reference signal and the external load.
The control scheme used is internal model control (IMC) and the design constraint is the power of the process output or that of the reference signal.
Online plant identification is extended by a time-varying convergence gain to improve the performance in the presence of slight error in the frequency of the reference signal.
Two types of the RG are proposed: one modifies the amplitude of the reference signal and the other modifies the frequency.
