Sergey M Afonin (PhD) is an Associate Professor of Department of Intellectual Technical Systems of National Research University of Electronic Technology (Moscow Institute of Electronic Technology MIET). He is a graduate of the National Research University of Electronic Technology MIET; Engineer in Electronic Technology 1976; PhD in Electronic Technology Engineering and Control Systems received in National Research University of Electronic Technology MIET 1982. Academic title of Senior Researcher received in MIET 1991. Aspirant MIET 1976–79, Junior Researcher MIET 1979–82, Senior Researcher MIET 1983–93, Associate Professor at MIET since 1993 to present time. His contribution: more than 200 scientific papers to professional publication, recipient of Silver medal and two Bronze medals VDNKH Russia.
The electroelastic (piezoelectric) actuator for nano- and microdisplacement solves problem of the precise matching in the mechatronics systems for nanotechnology and adaptive optics, compensation of temperature and gravitational deformations, atmospheric turbulence by wave front correction. Piezoactuator is a piezomechanical device intended for actuation of mechanisms, systems or management based on the piezoeffect. It converts electrical signals into mechanical movement or force. Piezoactuator for nano- and microdisplacement provide the movement range from several nanometers to tens of microns, the sensitivity of up to 10 nm/V, the loading capacity of up to 1000 N. Piezoactuator provide high stress and speed of operation and return to the initial state when switched off. Piezoactuator is used in the majority of the mechatronics systems for the scanning tunneling microscopes, the scanning force microscopes and the atomic force microscopes. By solving the wave equation using the Laplace transform and taking the equation of the electroelasticity, the boundary conditions on loaded faces of electroelastic actuator the strains along the coordinate axes, it is possible to construct its structural parametric model. Effects of geometric and physical parameters of the electroelastic actuator and external load on its dynamic characteristics are determined. For calculation of the mechatronics systems the generalized parametric structural schematic diagram Figure 1 and the transfer functions of the electroelastic actuator are obtained. The static and dynamic characteristics of piezoactuator are determined. The decision wave equation, the generalized structural-parametric model, the generalized parametric structural schematic diagram, the generalized transfer functions of electroelastic actuator are obtained. The parametric structural schematic diagrams, transfer functions piezoactuator for transverse, longitudinal, shift piezoeffects are determined from the generalized structural-parametric model of the electroelastic actuator for the mechatronics systems. The generalized structural-parametric model of the electroelastic actuator provides the determination of its transfer functions and calculation of its static and dynamic characteristics.
Dr. Khadeev Ravil has completed his PhD in 1988 in IPAN in Moscow. He is the Chief Technologist in the production of composite materials. He is specialized in Radiophysics from the Kharkov University and obtained PhD in IPAN in Moscow, specializing in Ergonomics.
To simplify the navigation, it is necessary that the person, who controls the vessel or other inert object, is able to know exactly the direction and speed of the development of the traffic, information about the future position of the hull on the surface or in space. The way of obtaining such information is described in the patent application. The operator can easily perform the exact actions by means of information on the future position of the managed object. Such information is needed when managing any inert object or process. The information on the rate of change allows to see - when the situation goes to a danger zone, allows to intervene in the management to prevent an emergency situation. It is essential that any automatic control system always uses the exact value of the derivative of a variable parameter. Without such information, the automatic device cannot control. The human operator also uses the value, derived from the process of control. But he usually does it on the basis of approximate data, which he receives from visible speed of movement or otherwise guided by the experience of previous situations. This is possible to provide the operator with information about the future position of the ship hull, using the signal of the navigation system. When the position of point on the surface is repeatedly measured, it is possible to obtain the velocity vector of its displacement. By distance and direction from the point of location at a given moment determines the future position. The selected scale will determine the time of its new position forecast, it is necessary to install two (or more) receivers of the navigation system, as shown in Figure 1, in remote locations on the hull of the ship. On the basis of the position of the sensors on the ship hull, the position of the hull on the surface can be built at a specific moment in time. A future situation is being built according to the future position of the sensors in relation to the surface. Figure 1 shows the future position of the ship hull, shown in dotted lines. By varying the scale of the velocity vector, it is possible to construct several different options of the future position of the vessel on the surface for this value of the movement speed of the receivers of the navigation signal. This is convenient to use for observation of the ship\'s movement on the surface.