Experimental Validation of Amigo Based PID for a Binary Distillation Column
Eadala Sarath Yadav1, I. Thirunavukkarasu2, Ashutha K.3, S. Shanmuga Priya4
1Eadala Sarath Yadav, Department of Instrumentation and Control Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India.
2I. Thirunavukkarasu, Department of Instrumentation and Control Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India.
3Ashutha K., Department of Instrumentation and Control Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India.
4S. Shanmuga Priya, Department of Chemical Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India.
Manuscript received on 14 December 2019 | Revised Manuscript received on 22 December 2019 | Manuscript Published on 31 December 2019 | PP: 130-134 | Volume-9 Issue-1S3 December 2019 | Retrieval Number: A10261291S319/19©BEIESP | DOI: 10.35940/ijeat.A1026.1291S319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Distillation is highly energy consuming process in industrial application concern. This paper focuses on energy consumption of an actuator through appropriate control design for a binary distillation column. Temperature control of binary distillation column is challenging because of existence of interaction between the variables. Independent variables of the process are fast acting (Reflux flow) and slow acting (Reboiler) with respect to process variables (Tray temperatures). Energy consumption of manipulated variable depends on efficient tuning of controller. AMIGO based PID controller design is implemented in this paper to show the optimal energy utilization of actuator. Performance analysis has been carried out to validate the control structure. It is been analyzed that based on the speed and quality requirement of the process, set of controller values can be obtained and best set of PID can be selected for real time implementation. Results depicts the efficiency of control scheme with performance index.
Keywords: Binary Distillation Column, AMIGO, PID, Decoupler, Interaction, FOPDT.
Scope of the Article: Big Data Quality Validation