Automatica (Journal of IFAC)
System identification-A survey
Automatica (Journal of IFAC)
An approach to adaptive control using real time identification
Automatica (Journal of IFAC)
A learning approach to the parameter-adaptive self-organizing control problem
Automatica (Journal of IFAC)
Adaptive control of linear stochastic systems
Automatica (Journal of IFAC)
Cross-directional control of sheet and film processes
Automatica (Journal of IFAC)
Paper: A self-tuning regulator for distributed parameter systems
Automatica (Journal of IFAC)
Brief paper: Self-tuning regulator applied to a binary distillation column
Automatica (Journal of IFAC)
Self-tuning control of an ore crusher
Automatica (Journal of IFAC)
Correspondence item: Authors' reply
Automatica (Journal of IFAC)
Paper: Theory and applications of self-tuning regulators
Automatica (Journal of IFAC)
Paper: Application of modern control concepts on a kraft paper machine
Automatica (Journal of IFAC)
Brief paper: Self-tuning control of a chip refiner motor load
Automatica (Journal of IFAC)
Brief paper: Properties of optimal stochastic control systems with dead-time
Automatica (Journal of IFAC)
Paper: Self-tuning and stable adaptive control of a batch polymerization reactor
Automatica (Journal of IFAC)
Brief papers: A multivariable selftuning regulator to control a double effect evaporator
Automatica (Journal of IFAC)
Theory and applications of adaptive control-A survey
Automatica (Journal of IFAC)
Brief paper: Simulations of adaptive controllers for a paper machine headbox
Automatica (Journal of IFAC)
Hi-index | 22.17 |
The papermaking process can be viewed as a time-varying stochastic system. The purpose of the control is to minimize the variance of moisture and basis weight of the manufactured paper. In the framework of stochastic theory and recently published papers on adaptive control an algorithm has been developed to cover the above-mentioned purpose. The strategy which hardly requires any a priori knowledge about the process is, in fact, a self-adjusting regulator. The central part of the algorithm is a compact identification scheme which gives directly the optimal control action. It is notable that contrary to normal identification and control methods the process dynamics never need to be calculated. The algorithm has been applied to several real-time computer control systems for paper machines. Up to now medium-scale computers have been used, but as the control program is powerful and short, some hundred words in length, it is in fact sufficient to perform the control with a mini-computer. Before the implementation of the algorithm for the above processes, the control system was built around digitalized PI-controllers, the parameters of which were carefully chosen and constant. A great number of comparative tests have been made in order to evaluate the efficiency of the adaptive regulator. The results were so successful that the algorithm has been permanently installed in the systems. The algorithm has not only decreased the output variance but also reduced the losses at quality changes and mill set-ups. Finally, it should be mentioned that the general nature of the algorithm permits application to many other types of processes.