Sachin C Patwardhan

Location

305, CAD Centre

Contact Information

call

  • +91 (22) 2576 7211 (O)

Email

  • sachinp [at] che [dot] iitb [dot] ac [dot] in

Sachin C Patwardhan

Core Faculty

Professor

Background

  1. B.Tech. Chemical Engineering I.T. B.H.U. 1986

  2. M.Tech. Chemical Engineering I.I.T. Madras 1988

  3. Ph.D. Systems and Control Engineering I.I.T. Bombay 1994

Professional Appointments

  1. Head Department of Chemical Engineering (2011-2014)

Awards & Fellowships

  • Visiting Professor Department of Chemical and Materials Engineering University of Alberta Canada (2000-2001)

  • Indira Manudhane Best P.G. Teacher Award in Chemical Engineering IIT Bombay 2004-2005.

  • Indira Manudhane Award for Best Applied Research in Chemical Engineering IIT Bombay 2004.

Controller design for simultaneous saccharification and fermentation: (on-going)

Schematic Representation of Fault Tolerant Nonlinear Model Predictive Control (FTNMPC)

The simultaneous saccharification and fermentation (SSF) approach is an industrially important paradigm for the production of cellulosic ethanol. This study proposes to develop and implement a low cost adaptive model predictive control framework which efficiently manages multi-rate measurements, environmental perturbations and feed-grade transitions.These goals will be achieved by integrating exit gas analysis based sensors (ethanol, O2, CO2) and an online FT-NIR spectroscopy system (for characterizing the hydrolysis products) into the proposed control framework.Identifying the extent to which an instrumented and controlled process would reduce dependency on enzyme costs, as well as facilitate robustness to process fluctuations is one of the main focus of the project. (Sponsors: Dept. of Bio-Technology, Govt. of India)

Development and Evaluation of nonlinear data-driven models suitable for nonlinear model predictive control of a Fluidized Bed Reactor (FBR) in PolyEthylene (PE) manufacturing process (2007-10)

PEM Fuel Cell Experimental Setup: Dynamic Model Validation PEM Fuel Cell Experimental Setup: Servo Control using Nonlinear IMC

This work explored possibility of developing nonlinear data driven block oriented black box models with Wiener / Hammerstein / Wiener - Hammerstein structurefor capturing nonlinear dynamics of a Fluidized Bed Reactor (FBR) system. These models were parametrized using generalized orthonormal basis filter (GOBF). In particular, design procedure was evolved for generating plant friendly input excitation signal to obtain the input-output data such that the identified black box model reveals salient nonlinear features of FBR system. Modeling studies indicated that GOBF-Wiener models were able to capture features of steady state and dynamic nonlinearities satisfactorily. Multiple nonlinear model based framework was also investigated for modeling grade transitions in the FBR system. (Sponsors: Honeywell Technology Solutions Lab, Bangalore)