Ashok Iyer, Ph.D., PE profile photo

Ashok Iyer, Ph.D., PE

Professor, Department of Electrical and Computer Engineering

Engineering West Hall, Room 210, Richmond, VA, UNITED STATES

(804) 827-7035 aiyer@vcu.edu

Professor Iyer's research interests include GPS applications and neural networks

Publications

Documents

Photos

photos photos

Audio

Video

Social

Industry Expertise

  • Education/Learning
  • Nanotechnology

Areas of Expertise

GPS ApplicationsNeural NetworksLinear and Nonlinear Control TheoryRobotics for Nuclear Waste Handling

Education

Texas Tech University

Ph.D., Electrical Engineering

1982

Texas Tech University

M.S., Electrical Engineering

1980

Advisor: Dr. Richard Saeks

Bangalore University

B.E., Electronics

1978

Affiliations

  • IEEE : Senior Member

Selected Articles

Inverse control for nonlinear excitation and governor control | International Journal of Systems Science

2007

This paper presents the results of a study of the Inverse Control technique for the design of excitation and governor controllers for a power system. Control laws for rotor angle and field flux are derived. The closed loop system is shown to be asymptotically stable. The system can be transferred to a new operating condition corresponding to any desired terminal voltage Vl and tie-line power Ptie. Although this control law was not experimentally tested on a power system, implementation issues are discussed in robotic and aerospace applications.

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Model reduction and control of ASTREX using stable fractions | IEEE Transactions on Aerospace and Electronic System

2002

The Advanced Space Structures Technology Research Experiments (ASTREX) is a precision structure situated at the Phillips Laboratory Edwards Air Force Base, CA. The structure is a test bed to develop, test, and validate control strategies for large-angle three-axis slewing manoeuvres and vibration suppression. The ASTREX facility consists of the test article (with primary, secondary, and tertiary substructures along with mirrors). Rational fractional approach is used to obtain coprime equations in a multivariate setting. Parameterized compensators are obtained for regulation and stabilization. Simulation results are presented to show the accomplishment of vibration suppression.

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