Robust control has been the purview of quantitative linear control techniques for a long time, while qualitative, symbolic control has been deemed to be more suitable to obtaining complex control objectives that require only low output precision.
Sin...
Robust control has been the purview of quantitative linear control techniques for a long time, while qualitative, symbolic control has been deemed to be more suitable to obtaining complex control objectives that require only low output precision.
Since the dynamic response trajectory of a traditional fuzzy controller can not be quantitatively controlled, a Robust fuzzy control with model following controller is proposed in this paper.
In the proposed controller, an output feedback linear model following control is designed first according to the roughly estimated plant model to let its response follow the out put generated by a reference model. Then a model following error driven control signal is synthesized such that good model following characteristics can be preserved at various operation conditions. The proposed controller is applied to the speed control of a servomotor. Dynamic signal analysis of model following behavior is made and the procedure for constructing the control algorithms is described detailedly. The performance of the drive and the effectiveness of the proposed controller are demonstrated by some simulation results.