ABSTRACT
Development of a mathematical model plays a large role in most of applications that consist of the establishment of relations among manipulating variables and control variables. In order to model a process, the process is required to be characterized in terms of its characteristic variables, those that give necessary and sufficient information regarding process characteristics such as dynamic behavioral or deterministic properties. It starts with the identification of control and manipulation variables. Maintaining control variables in closed limits is the basic requirement for carrying out the desired process. The deviation of these control variables with respect to desired limits gives an important information about how nicely process is carried out. If any deviation with respect to desired values prompts us to control the related manipulation variable. Thus, to develop the model, one requires to identify both control and manipulation variables related to the desired process. In this chapter, a multi-input and multi-output (MIMO) model of milk evaporation is predicted and defined.
Note for Industry Practitioners
Many procedures such as milk evaporation in the industry are complicated in nature wherein one or many manipulation variables can have an effect on one or many output variables, making it extremely tough to control. Deducing these MIMO-complicated approaches into multiple Single Input Single Output (SISO)-managed loops is a task in itself. The characterization of such MIMO approaches inside the shape of its transfer characteristic models using manipulation and control variables greatly allows in designing controllers for such methods for you to simplify the MIMO systems. In this chapter, a mathematical version of milk evaporation is advanced that can be used for designing the controllers for milk evaporation technique taking place in milk processing enterprises.
