Abstract

A paper machine is an adventurous and complex conjunction of mechanical, chemical and electrical phenomena. It is a very multivariable process and yet it is typically controlled using traditional single loop control strategies which are not naturally suited to comprehending and compensating for the effect a number of input variables may have on each paper quality variable. Consequently, in normal operation many potentially useful control variables remain unused.

By reference to work undertaken on several full scale commercial machines, the seminar will consider some of the benefits for paper machine operation of employing multivariable model predictive control and optimisation technology. These benefits include improved machine stability, better quality, increased production and reduced use of energy.

The seminar will also discuss the objectives of two recently initiated university-based research and development projects, aimed at better understanding the potential for MPC and optimisation technology to reduce the very considerable amounts of energy used in paper making. Present indications are that at least a 20% reduction may be possible.