N.S. Bhuvaneswari,∗ G. Uma,∗∗ and T.R. Rangaswamy∗
Non-linear process, conical tank, conventional control, neural net- work with dynamic programming, time-optimal control
The objective of this paper is to investigate and find a solution by designing the intelligent controller for controlling conical tank level using neural network with dynamic programming (DP). A mathematical step-by-step procedure known as DP method is used to obtain the optimal valve position path in the level control problem and is trained by neural network, based on the back-propagation algorithm. The DP procedure allows the set point to be reached as fast as possible without overshoot. A prototype of conical tank level system has been built and implementation of DP-based neural network control algorithm is performed. Finally the performance is compared with conventional control.
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