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Vol. 89, Issue 3, March 2008, pp.30-38




Control of Neutralization Process Using Soft Computing


G. Balasubramanian1 , N. Sivakumaran2 and T. K. Radhakrishnan3

1School of Electrical and Electronics Engineering, SASTRA University, Tirumalaisamudram, Thanjavur, Tamilnadu, India 613402

2Department of Instrumentation and Control Engineering, 3Department of Chemical Engineering,

National Institute of Technology, Tiruchirapalli, Tamilnadu, India 620015



Received: 11 November 2007   /Accepted: 17 March 2008   /Published: 24 March 2008


Abstract: A novel model-based nonlinear control strategy is proposed using an experimental pH neutralization process. The control strategy involves a non linear neural network (NN) model, in the context of internal model control (IMC). When integrated into the internal model control scheme, the resulting controller is shown to have favorable practical implications as well as superior performance. The designed model based online IMC controller was implemented to a laboratory scaled pH process in real time using dSPACE 1104 interface card. The responses of pH and acid flow rate shows good tracking for both the set point and load chances over the entire nonlinear region.


Keywords: Nonlinear, Neutralization process, IMC and NN


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