Ranjan Mukherjee

Professor of Mechanical Engineering Michigan State University

  • East Lansing MI

An expert in telemedicine – robotics and computer-assisted surgical procedures.

Contact

Michigan State University

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Biography

Ranjan Mukherjee received his BS degree in Mechanical Engineering from the Indian Institute of Technology, Kharagpur, in 1987. He received his MS and PhD degrees in Mechanical Engineering from the University of California, Santa Barbara, in 1989 and 1991. Prior to joining Michigan State University, he was an Assistant Professor at the US Naval Postgraduate School in Monterey, California, from 1991 to 1996.

Ranjan Mukherjee’s research interests are in the broad area of mechatronics and robotics. He is a Fellow of the ASME.

Industry Expertise

Writing and Editing
Education/Learning

Areas of Expertise

Vibrations
Robotics
Mechatronics

Education

Indian Institute of Technology, Kharagpur

B.Tech.

University of California, Santa Barbara

M.S.

University of California, Santa Barbara

Ph.D.

Journal Articles

Enlarging the Region of Attraction of equilibria of underactuated systems using Sum of Squares and Impulse Manifold Method

American Control Conference (ACC)

Dhrubajit Chowdhury, Nilay Kant, Ranjan Mukherjee, Hassan K Khalil

2017

This paper presents an algorithm to enlarge the estimate of the Region of Attraction of stable equilibria of underactuated systems. To achieve this, we use a combination of the Sum of Squares (SOS) method and the Impulse Manifold Method (IMM). Initially, the SOS method is used to optimize the control input u(x) in order to obtain an enlarged Region of Attraction. The IMM is then applied on enlarged Region of Attraction obtained using SOS to further enlarge it. The IMM is implemented using high gain feedback and to demonstrate the efficacy of our algorithm, we present simulation results where an initial configuration of an acrobot lying outside the true region of attraction is stabilized.

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Swing-up of the inertia wheel pendulum using impulsive torques

Decision and Control (CDC), 2017 IEEE 56th Annual Conference

Nilay Kant, Ranjan Mukherjee, Hassan K Khalil

2017

The swing-up control problem of the inertia wheel pendulum is revisited in this paper. As different from existing methods, purely impulsive control inputs are used for swing-up. A mathematical formulation of the problem indicates that swing-up can be achieved using impulsive inputs applied at two discrete time instants. Two different swing-up schemes are presented and validated using numerical simulations where the impulsive inputs are approximated by high-gain feedback. The results of numerical simulations establish a direct link between high wheel velocities during swing-up and control strategies that take the pendulum directly to the upright configuration. They also indicate that the time required for swing-up is much less than that reported in the literature.

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Variable Structure Control of a Mass Spring Damper Subjected to a Unilateral Constraint: Application to Radio-Frequency MEMS Switches

Journal of Dynamic Systems, Measurement, and Control

Amer L Allafi, Premjeet Chahal, Ranjan Mukherjee, Hassan K Khalil

2018

A feedback control strategy is presented for improving the transient response of the ubiquitous mass-spring-damper (MSD) system; the closed-loop system has a small settling time with no overshoot for a step input. This type of response is ideal for MSD systems subjected to a unilateral constraint such as radio-frequency micro-electro-mechanical-system (RF MEMS) switches, which are required to close in a short period of time without bouncing. The control strategy switches the stiffness of the MSD between its nominal value and a negative value, resulting in a hybrid dynamical system. A phase portrait analysis of the hybrid system is carried out to establish the asymptotic stability property of the equilibrium and quantify the transient response. Simulation results are presented using parameter values of a real RF MEMS switch from the literature. As compared to open-loop strategies that are currently used, the proposed feedback control strategy promises to provide comparable switch-closing times with robust performance and eliminate bouncing.

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