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Ashok Iyer, Ph.D., PE - VCU College of Engineering. Engineering West Hall, Room 210, Richmond, VA, US

Ashok Iyer, Ph.D., PE

Professor, Department of Electrical and Computer Engineering | VCU College of Engineering

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

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





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Industry Expertise (2)



Areas of Expertise (4)

GPS Applications

Neural Networks

Linear and Nonlinear Control Theory

Robotics for Nuclear Waste Handling

Education (3)

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 (1)

  • IEEE : Senior Member

Selected Articles (2)

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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