Abstract
In this paper, Enhanced Model Reference Adaptive Control (E-MRAC) based Parallel Cascade Control strategy (PCC) is proposed for the control of unstable continuous bioreactor. This control system consists of secondary and primary loop. The secondary loop comprises of PID controller, which is designed based on the direct synthesis method. In order to achieve stable responses for unstable processes like continuous bioreactor, non linear control strategy in the primary loop would gain edge over linear control. Hence, the Enhanced MRAC (includes smith predictor) is introduced in the primary loop. The presence of Smith predictor has minimized the discrepancies due to dead times. This seems to be an added advantage over existing ones. From the simulation studies it is observed that Enhanced MRAC based PCC has shown better tracking performance when compared to the PID based PCC control strategy.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Luyben, W.: Parallel cascade control. Ind. Eng. Chem. Fund. 12, 463–467 (1973)
Lee, Y., Park, S., Lee, M.: PID Controller Tuning to Obtain Desired Loop Responses for Cascade Control Systems. Ind. Eng.Chem. Res. 37, 1859–1865 (1998)
Yu, C.C.: Design of parallel cascade control for disturbance rejection. AIChE J. 34(11), 123–128 (1988)
Rao, A.S., Seethaladevi, S., Uma, S., Chidambaram, M.: Enhancing the performance of parallel cascade control using Smith Predictor. ISA Transactions (2009)
Karthikeyan, R., Pahikkala, T., Virtanen, S., Isoaho, J., Manickavasagam, K., Murthy, K.V.V.: Fuzzy Logic Based Control for Parallel Cascade Control. ICGST-ACSE Journal 10(1), 39–48 (2010)
Saravanakumar, G., Wahidabanu, R.S.D., Nayak, C.G., Thirunavukkarasu: Design and analysis of modified smith predictors for self-regulating and non-self-regulating processes with dead time. Indian Institute of Chemical Engineers 50, 1–16 (2008)
Slotine, J.-J.E., Li, W.: Applied Linear Control. Prentice Hall, Eaglewood Cliffs (1991)
Dibiasio, D., Lim, H.C., Weigand, W.A., Tsao, G.T.: Phase plane analysis of feedback control of unsteady states in biological reactor. AIChE 24(4), 686–693 (1978)
Vanavil, B., Uma, S., Seshagiri Rao, A.: Smith Predictor Based Parallel Cascade Control Strategy for Unstable Processes with Application to a Continuous Bioreactor. Chemical Product and Process Modelling 7(1) Article 10
Karthikeyan, R., Yadav, R.K., Tripathi, S., Hemanth Kumar, G.: Analyzing Large Dynamic Set-point change Tracking of MRAC by exploiting Fuzzy Logic based Automatic Gain Tuning. In: IEEE Control and System Graduate Research Colloquium, ICSGRC 2012 (2012)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Karthikeyan, R., Chava, B., Koneru, K., Godavarthi, S.S.V., Tripathi, S., Murthy, K.V.V. (2014). Enhanced MRAC Based Parallel Cascade Control Strategy for Unstable Process with Application to a Continuous Bioreactor. In: Thampi, S., Abraham, A., Pal, S., Rodriguez, J. (eds) Recent Advances in Intelligent Informatics. Advances in Intelligent Systems and Computing, vol 235. Springer, Cham. https://doi.org/10.1007/978-3-319-01778-5_29
Download citation
DOI: https://doi.org/10.1007/978-3-319-01778-5_29
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-01777-8
Online ISBN: 978-3-319-01778-5
eBook Packages: EngineeringEngineering (R0)