A course on Industrial Automation and Hands-on
Studying the importance of different types of transmission lines, distribution lines, and the devices used in it
DATA SPECIALIST
Model Based Control
Project Description: Sliding mode control (SMC) has gained its importance in the control domain due to its invariance property to uncertainty. Despite its robustness, it is lamed in the field of practice due to the problem of chattering. Chattering (A high-frequency oscillation around the equilibrium point) is the phenomenon by which the control input requires a high-frequency oscillating signal. This signal is not accepted by many actuators. • Therefore, to reduce the chattering effect we devised a new method, “Energy Absorbent Sliding Surface-based SMC”. • For the comparison purpose I have already designed and simulated different existing SMC techniques for magnetic ball levitation system (MAGLEV) such as Conventional SMC, Quasi-SMC, and Higher-Order SMC (HOSM). • Another approach I have also designed a modified PI switching surface i.e. PID switching surface. System information and Tools: The proposed system is simulated using MATLAB/SIMULINK. The control design has been implemented on a magnetic ball levitation system (MAGLEV). Documentation: Some of the artifacts (Literature document, model design document) are to be documented.
Controlling any practical systems with only output information makes the control design more feasible as compared to state-based designs. In addition to that, adding robustness by the inherent nature of sliding mode control, Control design becomes robust with state estimation and disturbance observation. • Mathematical advancement of Multirate output feedback control with hardware implementation for Buck converter and DC motor is done. • Sensor requirements are replaced by discrete-time sliding mode observer for cost effectiveness and ease of implementation. It has been tested for the Modular Multilevel Converter case. System information and Tools: The proposed system is simulated using MATLAB/SIMULINK. The control design has been implemented via DSpace 1104.
Published by IntechOpen, 2020
Published by SPRINGER, 2020
Published by ELSEVIER in 2023
Volumes: 149Published by IEEE in 2022
Journal: IEEE Transactions on Industry ApplicationsPublished by IEEE in 2022
Journal: IEEE Transactions on Industrial ElectronicsPublished by IEEE Transactions on Industry Applications in 2022
Pages: 7490-7498Published by IEEE in 2022
Pages: 494-504Published by STM JOURNALS in 2014
Pages: 22-27Published by IEEE in 2014
Pages: 1-5Published by IEEE in 2015
Pages: 1-6Published by IEEE in 2015
Pages: 1-5Published by IEEE in 2017
Pages: 1-5Published by IEEE in 2017
Pages: 1-6Published by IEEE in 2017
Pages: 468-472Published by IEEE in 2018
Pages: 255-260Published by IEEE in 2018
Pages: 239-244Published by IEEE in 2018
Pages: 358-362Published by IEEE in 2019
Pages: 208-213Published by IEEE in 2019
Pages: 1-4Published by IEEE in 2020
Pages: 1-6Published by IEEE in 2020
Pages: 1-6Published by IEEE in 2020
Pages: 5116-5121Published by IEEE in 2020
Pages: 1-6Published by IEEE in 2020
Pages: 1-6Published by IntechOpen in 2020
Journal: Control Theory in EngineeringPublished by SPRINGER in 2020
Volumes: 51Published by IEEE in 2022
Pages: 79-84
ASSISTANT PROFESSOR, INDIAN INSTITUTE OF TECHNOLOGY ROORKEE
sohom.chakrabarty@ee.iitr.ac.in
9432270633
ASSOCIATE PROFESSOR, INDIAN INSTITUTE OF TECHNOLOGY ROORKEE
anubrata.dey@ee.iitr.ac.in
7060300904
C, C++, MATLAB, SIMULINK,
DATASTAGE, COGNOS,
AUTOSAR
ODIA, HINDI, ENGLISH