BITS Pilani

  • Page last updated on Tuesday, November 14, 2017

Control Systems Lab

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Control Systems Lab

Introduction

The feedback automatic control systems are an essential feature of numerous industrial processes, scientific instruments and even commercial, social and management situations. A thorough understanding of the elementary principles of this all embracing technology is of great relevance for all engineers and scientists. This laboratory course gives hands-on experience to the feedback automatic control concepts covered in the theory course.

Courses to cater

EEE F245 Control Systems Lab 
  • BE (H) Electrical and Electronics
  • BE (H) Electronics and Communications 
  • BE (H) Electronics and Instrumentation

Facilities

Simulation Software
  • MATLAB: Release 2013a
  • NI LabVIEW 2013  
Hardware 
  • QUBE rotary servo real time control system comprising: QUBE rotary servo unit, inertial wheel and inverted pendulum0
  • 33-008- PCI precision modular servo workshop comprising:  MS150 DC modular servo system and PID150Y proportional, integral and derivative unit
  • TK2942-001 transducers kit comprising: 
    • TK2941E: Electro- mechanical transducers kit
    • TK2941H: Heat transducers kit
    • TK2941L: Light transducers kit
    • TK2941M: Measurement package
  • Digital Storage Oscilloscope: 60MHz, 1GS/s, 2.5k record length, 2-ch, color display
  • Arbitrary / Function generator: 1 Channel, 250MS/s, 20MHz sine waveform 14 bits, 3.5 color LCD, 2-U half rack, USB interface.

People

  • Faculty Coordinator:  Alivelu Manga Parimi / Sandeep Kumar
  • Other Faculty Users:  Ramakant Yadav
  • Lab Technician: Venkateswarlu K (Senior Technical Asst.)
  • PhD / Masters Students: Himabindu T (PhD)

News

 
[Project] Dr. Souvik Kundu (PI) and Prof. Souri Banerjee (Physics, co-PI) received a project from BRNS (3 years, ~35 lakhs) - "Metal-oxide and Nanocomposite based low-power non-volatile switching device".
 
[PhD Student Paper] Manu Gupta, V Rajagopalan, E P Pioro, B.V.V.S.N. Prabhakar Rao, Volumetric Analysis of MR Images for Glioma Classification and their Effect on Brain Tissues, Signal, Image and Video Processing, Published Online, 2017. 
 

Events

[15 Sep 2017Visit by Prof. R. Karmalkar, IIT Madras
 
[24 Aug 2017Visit by Prof. Varun Jeoti (Signal processing and Wireless communication), University Technology Petronas, Malaysia 
 
[11 Aug 2017Interaction with New EEE Students
 

Recent Publications

Detailed List...

1. Manu Gupta, V Rajagopalan, E P Pioro, B.V.V.S.N. Prabhakar Rao, Volumetric Analysis of MR Images for Glioma Classification and their Effect on Brain Tissues, Signal, Image and Video Processing, Published Online, 2017.  

2. S. Chitraganti, R. Toth, N. Meskin, J. Mohammadpour, Stochastic model predictive tracking of piecewise constant references for LPV  SystemsIET Control Theory & Applications, in press, 2017.

3. Soham Jariwala, Rohit Nagpal, Saksham Phul, Sanket Goel and Balaji Krishnamurthy, Modeling the performance of an enzymatic glucose fuel cell, accepted for publication with Journal of Electroanalytical Chemistry, 2017.

4. Venkateswaran PS, Santosh Dubey, Abhishek Sharma, Ajay Agarwal and Sanket Goel*, Stereolithographic 3D Printed Microfluidic viscometer for Rapid Detection of Automobile Fuel Adulteration, accepted for publication with Sensor Letters, 2017.

5. S. K. Sahoo, A. Gangishetty, R. Sahoo and M. Muglikar, High Performance Ternary Adder using CNTFET, IEEE Transactions on Nanotechnology , Vol. 99, pp.1-1. 2017.

6. Young Ho Kim, Jeong-Woo Sohn,  Yeon Kyung Lee, Jaehoon Jung, Minyeong Jeong, Sanket Goel, Hee Jin Kim,  Sang-June Choi, Preparation of pH Sensitive MMT/PEGMEA Nanocomposite Micropatterns by Rapid and Simple UV Curing Procedures,Journal of Nanoelectronics and Optoelectronics, Vol 12(6), pp. 550-556, 2017.

7. Ganesh Kumar Ganjikunta and Subhendu Kumar Sahoo, An area-efficient and low-power 64-point pipeline Fast Fourier Transform for OFDM applications, Integration, the VLSI Journal, Vol. 57, pp. 125-131, 2017.

8. Kotha Srinivasa Reddy and Subhendu Kumar Sahoo, An approach for fixed coefficient RNS-based FIR filter, International Journal of Electronics, Vol. 104 (8), 2017.

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© 2017 Centre for Software Development,SDET Unit, BITS-Pilani, India.

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