Effect Of Variance On Control Algorithm

A control algorithm was developed previously for loading coal trains such that each car met customer specifications (Ganguli, 2001). In developing the algorithm, the effect of the variance of coal was not investigated. This paper explores the effect of the variability of coal on the algorithm using two approaches: theoretical analysis and simulation. Both approaches demonstrate that variance is not an issue when the customer quality specification is close to the mine average quality. However, when they are far apart, the performance of the algorithm improves with variance.