Back to Search
Start Over
Optimization and Estimation of Transfer Function Model of Milk Evaporation Process
- Source :
- Regular issue. 10:308-314
- Publication Year :
- 2021
- Publisher :
- Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP, 2021.
-
Abstract
- Development of Mathematical model has significant role in many applications such as estimation of relations between input and output variables. The relations can be deterministic or behavioral. From the point of view of control actions to be estimated for a particular application, behavioral model is considered to be of utmost importance. This also amounts the prediction of process behavior in time, frequency and complex domains. Here in this paper, attempts have been made to develop behavioral model of milk evaporation used in dairy industry which is of prominent importance in India because of its agriculture based economy. Besides India, there are also many milk producing countries in the world and their economy is dependent on milk producing animals. It is also imperative that excess milk production to be converted in its preservable form and evaporated milk has special significance in this context. The Milk evaporation is a complex process and its output control variables depend on many of its input manipulation variables. Because of its complex nature and many variables involved in it poses a challenge real life MIMO problem. In this paper, MIMO model of Milk evaporation model is estimated and described.
- Subjects :
- Environmental Engineering
Materials science
business.industry
100.1/ijeat.E28000610521
General Engineering
Energy balance
Evaporation
2249-8958
Transfer function
Computer Science Applications
Behavioral modeling
Transfer function model
Material balance
Process dynamics
Scientific method
Process engineering
business
Milk Evaporation, Mathematical Modeling, Deterministic Modeling, Behavioral Modeling, Transfer function, Process Dynamics, Material Balance, Energy Balance, Process Behavior
Subjects
Details
- ISSN :
- 22498958
- Volume :
- 10
- Database :
- OpenAIRE
- Journal :
- Regular issue
- Accession number :
- edsair.doi.dedup.....f2148a0af851b1f0847baea008aced7f
- Full Text :
- https://doi.org/10.35940/ijeat.e2800.0610521