Project Title: Development of a process loop simulator for supervisory statistical process control analysis
Statistical Process Control (SPC) tools have been traditionally applied to discrete manufacturing rather than continuous process industries. Major problems are encountered when directly applying SPC to continuous processes due to autocorrelated data and the complexity of the data structures. SPC tools can be used to supervise process loops however. The development of a process control loop simulator is required for the continued development of such techniques.
A software program will be developed based on a model of a heat exchanger unit controlled by a three term controller. Noise models and uncertainty will be incorporated to simulate realistic process data for SPC analysis. The program will allow the application of on-line series models for research purposes.
Matlab computing environment