The development of design theory and testing the multi dimensional machine tools and machines with the mechatronic rods structures and their control systems
The development of the dynamics theory of a multi coordinate machine tools and machines based on fuzzy sets and neural networks with the implementation of innovative methods of machining the workpieces
A new dynamics theory of multi coordinate machine tool and machines based on fuzzy sets using neural networks to implement computational procedures with the implementation of innovative methods of machining, which are based on using the features of dynamic processes of machining was developed.
The theory is based on the description of inertial properties of the elements of multi coordinate systems for spatial movement by the means of inertia tensor with not clearly defined (blurred, Fuzzy) components with the corresponding functions of correspondence. The additive mathematical models in the form of differential equations of infinite order with not clearly defined matrix coefficients and stochastic variable dimension matrixes were applied.
To provide the required dynamic characteristics of the proposed mechatronic control systems the effective computational procedures based on the artificial neural networks, and the control process optimization is based on fuzzy algorithms.
The proposed dynamics theory of multi coordinate machine tools is the basis of the purposeful changes of dynamic properties of a multi coordinate machine tools and machines and justifies the entirely new methods of machining with vibrational resonance and forced oscillations of workpiece.