Abstract
The principal problem encountered in controlling of multivariable processes is the interaction amid the loops because of non-zero diagonal elements present in the system. The modest interaction between the control loops may lead the system unstable. In order to achieve the desired performance and guarantee robust stability margin, it is important to know which output is driving by which input. Hence the pairing is formed; consequently the controller is designed for resultant ‘n’ independent loops. Thus improves the set point tracking and disturbance rejection property of a control system. This paper deals with loop interaction measurement, control configuration selection and thereby controller is designed based on reduced apparent process models. The case study is included to illustrate the efficacy of proposed method.
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Naik, R.H., Kumar, D.V.A., Anjaneyulu, K.S.R. (2017). Loop Interaction and It’s Influence in Multivariable Process Control. In: Attele, K., Kumar, A., Sankar, V., Rao, N., Sarma, T. (eds) Emerging Trends in Electrical, Communications and Information Technologies. Lecture Notes in Electrical Engineering, vol 394. Springer, Singapore. https://doi.org/10.1007/978-981-10-1540-3_38
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DOI: https://doi.org/10.1007/978-981-10-1540-3_38
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