Abstract
Internal model control (IMC) technique is one of the well-accepted model-based controller designing methodologies which is widely used in process industries due to their simplicity and ease of tuning. Most of the IMC tuning provides good set point response but unsatisfactory load rejection behavior. To overcome this limitation for industrial processes SIMC technique is reported in the literature. In this technique, to derive the SIMC controller expression, higher order processes are approximated as first-order plus time delay model. Hence, uncertainty is always there in process modeling and as a result SIMC controller may fail to provide the satisfactory performance with conventional fixed tuning. A fuzzy-tuned SIMC controller is reported here to surmount this drawback and its efficacy is established through real-life experimentation on a laboratory-based level control loop.
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Nath, U.M., Dey, C., Mudi, R.K. (2018). Fuzzy-Tuned SIMC Controller for Level Control Loop. In: Bhattacharyya, S., Sen, S., Dutta, M., Biswas, P., Chattopadhyay, H. (eds) Industry Interactive Innovations in Science, Engineering and Technology . Lecture Notes in Networks and Systems, vol 11. Springer, Singapore. https://doi.org/10.1007/978-981-10-3953-9_23
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DOI: https://doi.org/10.1007/978-981-10-3953-9_23
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