Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria, 0002, South Africa
Wei, D., Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria, 0002, South Africa; Craig, I.K., Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria, 0002, South Africa
Economic performance assessment of control systems is receiving increasing attention in both academia and industry. A relevant framework is proposed in Bauer and Craig (Bauer, M., Craig, I.K., 2008. Economic assessment of advanced process control - a survey and framework. Journal of Process Control 18 (1), 2-18) based on a comprehensive survey of the methods for economic analysis of advanced process control systems. The framework provides a formal procedure for the economic assessment of control systems. A practically motivated simulation study is used to cast the economic performance assessment of a nonlinear model predictive controller and three single-loop PID controllers for a run-of-mine milling circuit into this framework. Performance functions of the milling circuit, which dynamically relate the circuit process variables to monetary values, are developed based on a survey study on milling circuits and an in-depth literature study. © 2009 Elsevier Ltd. All rights reserved.
Advanced Process Control; Economic assessments; Economic performance; Grinding; Milling circuits; Mineral processing; Monetary value; Non-linear model; Performance functions; PID controllers; Process Variables; Simulation studies; Control system analysis; Controllers; Economic analysis; Electric network analysis; Flotation; Grinding (comminution); Grinding (machining); Intelligent control; Milling (machining); Minerals; Mining; Particle size; Proportional control systems; Silicate minerals; Surveys; Three term control systems; Process control