Mario Rotea

Dr. Mario Rotea

The University of Texas at Dallas, Richardson, Texas, USA
orcid

Research Focus & Metrics

Academic Career Length

32Years (1995-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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12 December 2022 in Wind Energy
Verified
Journal Article
Open access
Devesh KumarDevesh Kumar
Devesh Kumar
Mario RoteaMario Rotea
Mario Rotea
Emmanuvel Joseph AjuEmmanuvel Joseph Aju
Emmanuvel Joseph Aju
YJYaqing Jin
Yaqing Jin
This work describes the results from wind tunnel experiments performed to maximize wind plant total power output using wake steering via closed loop yaw angle control. The experimental wind plant consists of nine turbines arranged in two different layouts; both are two dimensional arrays and differ in the positioning of the individual turbines. Two algorithms are implemented to maximize wind plant power: Log‐of‐Power Extremum Seeking Control (LP‐ESC) and Log‐of‐Power Proportional Integral Extremum Seeking Control (LP‐PIESC). These algorithms command the yaw angles of the turbines in the upstream row. The results demonstrate that the algorithms can find the optimal yaw angles that maximize total power output. The LP‐PIESC reached the optimal yaw angles much faster than the LP‐ESC. The sensitivity of the LP‐PIESC to variations in free stream wind speed and initial yaw angles is studied to demonstrate robustness to variations in wind speed and unknown yaw misalignment.

19 January 2010 in IEEE Control Systems
Verified
Journal Article
Closed access
RSRuchir Saheba
Ruchir Saheba
Mario RoteaMario Rotea
Mario Rotea
OWOleg Wasynczuk
Oleg Wasynczuk
SPSteven Pekarek
Steven Pekarek
BJBrett Jordan
Brett Jordan
A virtual thermal sensor (VTS) is developed to estimate temperatures at various locations in an electric machine. The VTS is a model-based dynamical observer that requires only a single temperature sensor installed at an easily accessible location in the machine. Experimental results demonstrate that the VTS can provide useful estimates of temperatures at various locations in the machine in real time despite modeling uncertainty and unknown initial temperatures.

1 January 2014 in IFAC Proceedings Volumes
Verified
Journal Article
Closed access
PDF file
Mario RoteaMario Rotea
Mario Rotea

24 April 2018 in IEEE Transactions on Control Systems Technology
Verified
Journal Article
Closed access
YXYan Xiao
Yan Xiao
YLYaoyu Li
Yaoyu Li
Mario RoteaMario Rotea
Mario Rotea
For wind turbines operating in below-rated wind-speed conditions (Region 2), the primary objective is to maximize energy capture. This brief presents the results of a comprehensive field-test evaluation of extremum seeking control (ESC) for Region 2. The test has been conducted on the 600-kW CART3 facility at the National Renewable Energy Laboratory. The ESC algorithm tested uses feedback of the rotor power only to control the torque gain and/or blade pitch angle for maximum power production. The results show that ESC control increases the energy capture by 8%-12% relative to a baseline controller.

17 September 2019 in IEEE Transactions on Power Electronics
Verified
Journal Article
Closed access
YXYan Xiao
Yan Xiao
BFbabak fahimi
babak fahimi
Mario RoteaMario Rotea
Mario Rotea
YLYaoyu Li
Yaoyu Li
In this paper, a Multiple Reference Frame (MRF) based approach is proposed to mitigate the torque ripple of the DFIG-DC system. The DFIG-DC system uses a diode bridge rectifier between the stator winding of DFIG and DC link. A reduced-power three-phase PWM converter is connected between the rotor winding of DFIG and DC link. Due to the diode commutation, the stator current and stator flux linkage are distorted with harmonics. To reduce the resulting torque ripple, the rotor currents need to track a pulsating reference signal to compensate the distortion of the stator flux. To improve the current tracking performance, MRF based estimators are used to calculate the main harmonics in both the command value and actual value of the rotor current. Then an MRF based regulator is implemented to achieve an accurate tracking for the harmonics of the rotor current command. Both simulation and experimental results demonstrate the effectiveness of the proposed scheme in reducing the torque ripple. The robustness of the proposed algorithm against deviation of stator frequency is also supported by the simulation and experimental results.