GMC Design Based on SVM Model of Batch Reactor

The use of support vector machine (SVM) in all aspects of process engineering activities, such as modeling, design, optimization and control has considerably increased in recent years. Batch reactors mostly used in chemical and pharmaceutical industries. In this paper, a design procedure of support vector machine (SVM) based model identification and control strategy for a batch reactor process with input-output form is proposed. In order to implement the generic model control structure, straight model representation and identification methods are addressed in detail. The control of a simulated batch reactor illustrates the proposed design procedure and the properties of the SVM based model identification, for nonlinear systems. This non linear control is a generic model control (GMC) is found to be well suited for a system when there is no significant rate of change of the set point.