Research
I feel the research in the area of Advanced Process Control is widely open with many challenging problems to be addressed using Machine Learning techniques. Chemical processes are highly nonlinear in nature. Capturing the nonlinear dynamics will improve the control loop performance in real-time applications. Machine Learning-based modeling techniques and controller design significantly improve the closed-loop performance. Recently, our team started using the ML for modelling of the Batch reactor and designed various nonlinear controllers for closed-loop tracking. Support Vector Machine concepts were used for the fault classification with real-time data captured.
Completed & On-going Research Projects
- “Investigation and Physical realization of 2DOF PID control with anti-reset windup for fast acting control loops”, Fast track for young scientist scheme, Dept. of Science and Technology, G.O.I., 2013-2016. – Status: Completed with excellent grade in the meeting held at IIT Madras during April 2017.
- “Design, Simulation and Implementation of Sliding Mode Controller for a Nonlinear Process: Conical tank level control”, Manipal University Post-Doctoral Research and Publications grant, Jan2013-Dec 2014, Status: Completed.
- “Kinetics Modeling and design of advanced nonlinear control algorithms for a pilot plant batch reactor”, MAHE(IoE) Seed money grant, Jan 2020-Dec 2021, Status: Completed.
- “Design and Implementation of SMC controller for a Quadrotor”, ISRO, G.O.I, July 2019-July 2022. Status: On-Going
- “Biofuels Production in lab scale Batch Reactor with Optimal Temperature Profile formation using Machine Learning Approach”, 2023, Seed money grant of MAHE, Status: On-Going.
Ph.D Guidance
| S.No | Name | Title | Duration | Examiner |
| 1 | Dr.Vinayambika.S.Bhat (Full time) | Design and Validation of Robust Controller for Binary Distillation Column | 27th Dec 2014 – March 2018. Thesis submitted (MAHE) on 27th March 2018 VIVA VOCE held on 25th August 2018 | Dr.A.Ramakalyan Professor, Instrumentation and Control Engg., NIT Trichy |
| 2 | Dr.Cyril Joseph (Part time) | Controller Synthesis for Complementarity Hybrid Dynamical System | Thesis submitted (MAHE) in April 2018. VIVA VOCE held on Sep. 2018 | Dr.G.N.Pillai Professor EE, IIT-Rourke |
| 3. | Dr.Sarath Yadav (Full time) | Design, Implementation and Validation of Control Schemes on the Batch Distillation Column | 16th July 2016 – March 2020 Thesis submitted (MAHE) on 7th May 2020. VIVA VOCE Held On 5th Aug 2020 | Dr.M.Chidambaram Emeritus Professor-Chemical Engg NIT Warangal Ex-Director, NIT Trichy Ex-Prof & Head, Chemical Engg., IIT Madras |
| 4 | Dr.R.Janani (Part time) | Design of Robust PID Controller for a Binary Distillation Column | Feb 2014-March 2020. Thesis submitted to SCSVMV Deemed University, Kanchipuram, May 2020. VIVA VOCE, 9th April 2021 | Eng. FEDELE Giuseppe Associate Professor Department of Computer Engineering,Modeling, Electronics and Systems University of Calabria, Italy. |
| 5 | Mrs.Tinu Valsa Paul | Model Validation and Design of Robust Controller for Nonlinear Dynamics of Quadrotor. | August 2019-Till date | |
| 6 | Mr.Suraj Suresh Kumar | Design and Simulation of Advanced Non-Linear Controllers for MAV | Found candidate involved against the code of scientific and professional ethics. Notice issued to the candidate with copy to ISRO Project Principle Investigator. Due to above reason, not relieved from ISRO Proejct. Dues not cleared. |
DAQ card for real-time interface with Simulink and M-File
Automation for Advanced Process Station
SCADA development for the Batch Reactor and interfacing with YOKOGAWA Centum DCS is in process. Analog signals of 4-20mA need to be connected with PLC. Ethernet connection will be established b/w PLC and DCS.
Remote monitoring and control can be experienced
Research Activity:
PhD, PG and UG students are working in the area of Machine Learning for nonlinear model identification and nonlinear controller design for the chemical processes. Students are validating the designed, simulated control algorithms on various pilot plants available in “Machine Learning for Advanced Process Control lab – RL12” using MATLAB/Python platform. The pilot plant sensors and actuator signals are interfaced to higher end PC using ADC2007, Jetson Orin 8GB board.
Students are getting hands-on experience in handling Simulin, m-file, Python codes to implement the control algorithms via Jetson Orin Nano board.
Students who are self-motivated/ interested to engage with technical activities in control and automation can approach. Presently I am looking for students to get involved in Machine Learning, Reinforcement Learning, Neural network based nonlinear model identification and control projects with real time applications.
Prerequisites
- Motivated towards technical works / hardware implementation.
- Coding skills (Basic/Medium)
- Mathematical concepts.
Eligibility
- B.Tech / M.Tech students ICE/EIE/ECE/EEE/ CSE/IT can work on identification and control algorithm developments in Python/MATLAB® simulation environment / Implementation.
- B.Tech/ M.Tech in Chemical/Bio-Tech can also work with the Machine Learning concepts with pilot plant chemical process/batch reactor.