Volume 04

The main drawback of ‘conventional’ fuzzy systems is the inability to automatically design and maintain their knowledge base. To overcome this disadvantage many types of extensions adding the adaptivity property to those systems were designed.

For ensuring the safety and production control on gassy mines the monitoring and control systems are used which enable permanent monitoring and management of a mine by inspection service and production dispatcher. The goal of this project is to create an intelligent model of safety control and, with suitable software, to verify its behavior (e.g. program Graf_Síť). Further, this intelligent model of safety control is to be tested on monitoring and control system MTA 11.00 in the Paskov Mine, plant Staříč.

This paper deals with some aspects of the rule -based control. The rule -based controller design methods are discussed and compared. New simulation results, obtained on the basis of the data from
real-time experiments, carried out with a robust pre-production type of the magnetoreological (MR) shock damper and its controlled behavior by implementing both – the Adaptive Neuro-Fuzzy Logic
Controller and adjusted by GA-FLC, are presented.

The article concerns the actuator with one pneumatic artificial muscle and spring which is acting again the direction of pull force of the pneumatic artificial muscle. This solution needs only one inlet and one outlet of the electromechanical pneumatic valve. The article concerns also the actuator with two McKibben´s type pneumatic artifical muscles in the antagonistic configuration. They are acting again the force of the other artificial muscle. The actuator is realized by using of two artifical muscles of Shadow Air Muscle type.