Abstract
This paper deals with the implementation of Model Predictive Control (MPC) in a Four Tank System (FTS). The nonlinear model of FTS has been developed from the mechanism modelling. There is coupling between the input and output and time delay in the FTS. Different control algorithms are implemented to the FTS. The objective is to track the level of liquid in tanks at the reference values. This problem is solved using different control methods such as proportional-integral-derivative (PID), MPC, and Fuzzy Modified Model Reference Adaptive Control (FMMRAC). The MPC allows closed-loop solution to the optimization problem to be obtained off-line. A general MPC control is applied to the FTS and different performance indices as well as error indices are calculated. The responses of these controllers are corroborated and the comparison of MPC with other control algorithms are presented. The MPC provides better performance than the other control algorithms. The simulation results show that good tracking performance is attained.
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Prusty, S.B., Pati, U.C., Mahapatra, K.K. (2019). Model Based Predictive Control of the Four Tank System. In: Singh, S., Wen, F., Jain, M. (eds) Advances in System Optimization and Control. Lecture Notes in Electrical Engineering, vol 509. Springer, Singapore. https://doi.org/10.1007/978-981-13-0665-5_23
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DOI: https://doi.org/10.1007/978-981-13-0665-5_23
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