TY - GEN
T1 - Maximum Sensitivity-Based PID Controller for a Lab-Scale Batch Reactor
AU - Bala Abhirami, M.
AU - Thirunavukkarasu, I.
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2023
Y1 - 2023
N2 - In this article, a PID tuning rule is presented for a lab-scale batch reactor model in order to minimize the impact of load disturbance on the process. The tuning technique is solely determined from the maximum sensitivity (MS) criteria, which are dependent on the full-state feedback and also on the matching of frequency response. The only tuning parameter for the controller is the maximum sensitivity (MS) which indicates the level of robustness. Hence, by adjusting the value of (MS), the values of PID tuning coefficients can be determined precisely. The suggested method is suitable for integrating processes with dead time and also for other complex systems by narrowing it down to FOPDT process. This article provides a controller for a lab-equipped batch reactor using the proposed method for tuning the controller parameters.
AB - In this article, a PID tuning rule is presented for a lab-scale batch reactor model in order to minimize the impact of load disturbance on the process. The tuning technique is solely determined from the maximum sensitivity (MS) criteria, which are dependent on the full-state feedback and also on the matching of frequency response. The only tuning parameter for the controller is the maximum sensitivity (MS) which indicates the level of robustness. Hence, by adjusting the value of (MS), the values of PID tuning coefficients can be determined precisely. The suggested method is suitable for integrating processes with dead time and also for other complex systems by narrowing it down to FOPDT process. This article provides a controller for a lab-equipped batch reactor using the proposed method for tuning the controller parameters.
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U2 - 10.1007/978-981-19-6913-3_12
DO - 10.1007/978-981-19-6913-3_12
M3 - Conference contribution
AN - SCOPUS:85151047357
SN - 9789811969126
T3 - Lecture Notes in Electrical Engineering
SP - 183
EP - 194
BT - Smart Sensors Measurement and Instrumentation - Select Proceedings of CISCON 2021
A2 - Chokkadi, Shreesha
A2 - Bandyopadhyay, Rajib
PB - Springer Science and Business Media Deutschland GmbH
T2 - Control Instrumentation System Conference, CISCON 2021
Y2 - 26 November 2021 through 27 November 2021
ER -