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The platform provides the tools for remote laboratory experiments in NCS settings. WSEAS Transactions on Systems, volume 4, number 1, pages 91-97. By permission.[Publication 3]: Mikael Pohjola, Lasse Eriksson, Vesa Hölttä, and Timo Oksanen. Platform for monitoring and controlling educational laboratory processes over Internet. © 2005 International Federation of Automatic Control (IFAC). By permission.[Publication 5]: Lasse Eriksson and Timo Oksanen. PID controller tuning for integrating processes: Analysis and new design approach. The results of the thesis indicate that the PID controller is well suited for NCS provided that the properties of the integrated communication and control system are taken into account in the tuning phase.[Publication 1]: Lasse Eriksson. © 2005 World Scientific and Engineering Academy and Society (WSEAS). Tuning of discrete-time PID controllers in sensor network based control systems. In: Proceedings of the 16th IFAC World Congress (IFAC 2005). By permission.[Publication 4]: Mikael Pohjola, Lasse Eriksson, and Heikki Koivo. Tuning of PID controllers for networked control systems. In: Proceedings of the 4th International Symposium on Mechatronics and its Applications (ISMA 2007).
To make the methods usable, a PID tuning tool that implements one of the tuning methods is also developed.
In order to verify the results of control design with real processes, the thesis suggests using the Mo Co Net platform developed at the Helsinki University of Technology, Finland.
The control design methods applied in the publications are also reviewed. PID controller tuning rules for varying time-delay systems.
In the thesis, several new methods for PID tuning in NCS are proposed. In: Proceedings of the 2007 American Control Conference (ACC 2007).
It was then used for automatic process control in the manufacturing industry, where it was widely implemented in pneumatic, and then electronic, controllers.
Today there is universal use of the PID concept in applications requiring accurate and optimised automatic control.
These are dependent on the behaviour of the measuring sensor, the final control element (such as a control valve), any control signal delays and the process itself.
Approximate values of constants can usually be initially entered knowing the type of application, but they are normally refined, or tuned, by "bumping" the process in practice by introducing a setpoint change and observing the system response.
This investment has provided us with new results on stability. SICE Journal of Control, Measurement, and System Integration, volume 1, number 2, pages 111-119.
Often the proposed methods and solutions are far too complex for industrial use, especially if wireless automation applications are considered. © 2008 Society of Instrument and Control Engineers (SICE).