Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği
Permanent URI for this collectionhttps://hdl.handle.net/11147/11
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Article Citation - WoS: 14Citation - Scopus: 16Charge Feedback-Based Robust Position Tracking Control for Piezoelectric Actuators(Institution of Engineering and Technology, 2012) Salah, M. H.; McIntyre, M. L.; Dawson, Darren M.; Wagner, John R.; Tatlıcıoğlu, Envern this study, the Coleman-hysteresis model is utilised in the piezoelectric actuator (PZTA) dynamic model and a non-linear robust control strategy is then developed to actively control the displacement of the PZTA effective tip. The proposed control technique is designed based on the partial knowledge of the hysteresis model while the mass of the PZTA is assumed to be uncertain. The piezoelectric charge measurement is utilised in the controller design to reduce the effects of the hysteresis. Lyapunov-based stability analysis techniques are utilised to ensure that a desired displacement trajectory is accurately tracked. Representative numerical results are presented and discussed to demonstrate the tracking performance of several desired displacement trajectories with different frequencies and amplitudes. Finally, comparisons with a standard PID controller and a sliding mode controller were performed to examine the effectiveness of the proposed control design. © 2012 The Institution of Engineering and Technology.Article Citation - WoS: 36Citation - Scopus: 38Optimum Seeking-Based Non-Linear Controller To Maximise Energy Capture in a Variable Speed Wind Turbine(Institution of Engineering and Technology, 2012) Iyasere, Erhun; Salah, Mohammed; Dawson, Darren M.; Wagner, John R.; Tatlıcıoğlu, EnverIn this study, an optimum seeking-based robust non-linear controller is proposed to maximise wind energy captured by variable speed wind turbines at low-to-medium wind speeds. The proposed strategy simultaneously controls the blade pitch angle and tip-speed ratio, through the turbine rotor angular speed, to an optimal point at which the power coefficient, and hence the wind turbine efficiency, is maximum. The optimal points are given to the controller by an optimisation algorithm that seeks the unknown optimal blade pitch angle and rotor speed. The control method allows for aerodynamic rotor power maximisation without exact knowledge of the wind turbine model. A representative numerical simulation is presented to show that the wind turbine can be accurately controlled to achieve maximum energy capture. © 2012 The Institution of Engineering and Technology.