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Content available Tunnel central control system enhanced with modern control approaches
Hrbcek J., Simak V., Janota A., Pirnik R.
Archives of Transport System Telematics
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2014
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Vol. 7, iss. 3
3--7
EN
The tunnel central control system is designed for maintaining the necessary safety and resistance against failures as a system fully redundant at all levels. All hardware components of the control system and their connections are doubled. Control system is based on the programmable logic controllers (PLC’s) and used the industrial buses on an optical and metallic physical layer. This system controls the traffic and all tunnel equipment systems (variable traffic signs, various lighting elements, ventilation system, etc.). Nowadays the control strategy is based on measured data inside the tunnel, metrological information and operator’s commands. The control strategy or algorithm must be enhanced to obtain better or optimal results. Using of model predictive control (MPC) may lead to optimize the control way for chosen criteria. MPC can be implemented to PLC by several methods.
2
Content available Implementation of artificial intelligence tools to an industrial controller
Simak V., Hrbcek J., Janota A., Pirnik R.
Archives of Transport System Telematics
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2014
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Vol. 7, iss. 3
47--51
EN
This paper considers the issue of vertical position control of a ball placed on a disc. The aim of this work is to create a fuzzy logic controller able to manage the issue of ball and wheel. The second chapter describes the identification system. In the next chapter a Fuzzy controller is described. The last chapter is dedicated to results of implemented fuzzy controller. Most of control tasks in transport are non-linear. This application should help to apply a fuzzy control in such systems.
3
Content available Computer vision based UGV steering
Simak V.
Applied Computer Science
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2007
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Vol. 3, no 2
87--101
EN
This report deals with a computer vision system for unmanned ground vehicle. The concentrated aspects include the comparison between image and model and intrinsic and extrinsing parameters of camera.
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