Hybrid and Optimal Control of Complex Mineral and Metallurgical Processes

"PROCESS COMPLEXITYDespite many years of research and development, mineral and metallurgical processes are in general highly complex and still difficult to understand and control. One of the biggest factors contributing to this complexity is the highly non-linear, multivariate, chaotic nature of such processes.This complexity is magnified in production environments where business optimisation rather than beneficiation is the primary objective. Return on investment, sustainability, and social issues such as Aids and the environment all form part of the goal hierarchy of industrial concerns. In addition, international competition and price volatility all have a huge impact on these processes in terms of operational constraints.Therefore the optimisation and control of beneficiation processes must take into account many factors other than pure process variables such as flow rates and levels. For example, commodity prices and client requirements all need to be added to the control problem, which together with incomplete process knowledge and non-linearities etc., make automation and optimisation extremely difficult.The ideal solution is to have a controller which in addition to performing full non-linear constrained optimal control can at the same time take into account other non-process factors such as price and client satisfaction."