Page 21 - ASME DSCC 2015 Program

Technical Program

Distributed flow Sensing using Bayesian Estimation for a flexible fish model instead of identifying the entire transfer function of the model. Exper-
Robot imental results conducted on a hard disk drive equipped with dual-stage
Contributed regular paper. DSCC2015-9732 actuation, confirm the effectiveness of the proposed estimation algorithm.
feitian Zhang, francis lagor, Derrick Yeo, Patrick Washington, Derek InVITED SESSIon
Paley, University of Maryland, College Park, MD, United States
2-19-1 WA4 Energy Harvesting
Flexibility plays an important role in fish behaviors by enabling high maneu- Geroge Bellows f 10:00am–12:00pm
verability for predator avoidance and swimming in turbulence. In this paper,
we present a novel, flexible fish robot equipped with distributed pressure Session Organizer: Cornel Sultan, Virginia Tech
sensors for flow sensing. The body of the robot is made of a soft, hyperelas- Session Organizer: Ryan Harne, Ohio State University
tic material that provides flexibility. The fish robot features a Joukowski-foil Session Organizer: lei Zuo, Virginia Tech
shape conducive to modeling the fluid analytically. A quasi-steady poten- Session Chair: Ryan l. Harne, The Ohio State University
tial-flow model is adopted for real-time flow estimation, whereas a dis- Session Co-Chair: Warren White, Kansas State University
crete-time vortex-shedding flow model is used for higher-fidelity simulation.
The dynamics for the flexible fish robot are presented, and a reduced model An Analytical Approach for Predicting Power Generation of
for one-dimensional swimming is derived. A recursive Bayesian filter assimi- Impulsively-Excited Bistable Vibration Energy Harvesters
lates pressure measurements for estimating the flow speed, angle of attack, Invited session paper. DSCC2015-9828
and foil camber. Simulation and experimental results are presented to show Ryan l Harne, The Ohio State University, Columbus, OH, United States,
the effectiveness of the flow estimation algorithm. Chunlin Zhang, Kon-Well Wang, University of Michigan, Ann Arbor, MI,
United States, Bing li, Xi’an Jiaotong University, Xi’an, China
feedback-Based Temperature and Irradiation Estimation for
Photovoltaic Systems An Analytical Approach For Predicting Power Generation of Impulsively-Ex-
Contributed regular paper. DSCC2015-9801 cited Bistable Vibration Energy Harvesters
Donald J. Docimo, Abdullah-Al Mamun, Pennsylvania State University, Vibration energy harvesting System With Mechanical Motion rectifier
University Park, PA, United States, Mohammad Ghanaatpishe, Invited session paper. DSCC2015-9837
Pennsylvania State University, State College, PA, United States
Changwei liang, State University of New York at Stony Brook, Blacksburg,
This paper develops two algorithms for estimating photovoltaic (PV) module VA, United States, You Wu, lei Zuo, Virginia Tech, Blacksburg, VA, United
temperature and effective irradiation level. The efficiency of PV systems States
depends on the module temperature, and both temperature and irradiation
Mechanical motion rectifier (MMR) has been used as power takeoff system to
determine the power output of the system. Estimating these two quantities
harvest energy for different applications. The dynamics of the single degree of
allows for improved state-based control methods while eliminating the need
freedom energy harvesting system with MMR is piecewise linear due to the en-
of additional sensors. Thermal models and irradiation estimators have been
gagement and disengagement of one-way clutches. The energy harvesting of
developed in the literature, but none incorporate feedback for estimation.
single degree of freedom system with MMR under force and motion excitation
This paper outlines two feedback-based observers for temperature and irra-
are studied numerically and compared with ideal linear damping and non-MMR
diation, each with a different irradiation model, and validates the proposed
system first in this paper. Under harmonic force and motion excitation, the
observer techniques through simulation.
optimal excitation frequency and output power of MMR system is less sensitive
online Identification of System uncertainties using coprime to the power takeoff inertia compared with non-MMR system. Furthermore, the
factorizations With Application to Hard Disk Drives output power of MMR system under harmonic motion excitation is larger than
Contributed regular paper. DSCC2015-9873 non-MMR system. Under random force and motion excitation, by designing cor-
omid Bagherieh, Behrooz Shahsavari, Roberto Horowitz, University of rect power takeoff inertia, the performance index of MMR system can be better
California, Berkeley, CA, United States than both ideal linear damping and non-MMR system, which indicates that MMR
system can harvest more energy under random excitation.
In hard disk drive (HDD) magnetic recording bit patterned media (BPM), data
are written in predetermined paths. The deviation of these paths from the
perfect circle is categorized as repeatable run-out (RRO) which needs to be
tracked. An adaptive RRO following algorithm was developed in [1,2] in order
to track the RRO. This algorithm uses models of the closed-loop sensitivity
transfer functions, from the feedforward injection points to position error
signal (PES), to estimate the feedforward control actions that are needed to
track the RRO. The phase difference between these models and the actual
transfer functions must be less than 90 degrees, in order to guarantee
the convergence of the adaptive RRO following algorithm. The dual-stage
actuators’ gains and resonance modes are affected by temperature varia-
tions, which in turn affect all closed loop sensitivity transfer functions. As a
consequence, the 90-degree criteria may be violated unless these transfer
functions are periodically updated. In this paper, the coprime factorizations 21
method has been used to factorize and identify the uncertain part of the