General information on SimInTech
SimInTech environment belongs to computer-aided drawing programs (CAD) of logic and dynamic systems described in input-output relations as well as to means of computerized dynamic calculations (DCC).
SimInTech is intended for detailed investigation and analysis of non-stationary processes in nuclear and thermal power plants, in automatic control systems, in servo drives and robots and, generally, in any technical systems, whose dynamics can be described as a system of algebraic-differential equations and/or implemented by methods of structured modeling.
be applied for modeling non-stationary processes in physics, in electric engineering, in dynamics of machines and machinery, in astronomy, etc., as well as for solving
non-stationary boundary-value problems (thermal conductivity, hydrodynamics and others);
function in multi-computer modeling complexes including systems of remote access to process and information resources;
function as CAD in the process of team operations and product (project) life cycle management with model-oriented approach to designing process.
It has no analogues among Russian software; such software products as SimuLink, MATRIX, VisSim, SimulationX and some others are analogues of SimInTech abroad.
Name of SimInTech is an acronym derived from English translation of the original name of the technology of MVTU software system (Simulation In Technic).
Fields of SimInTech applications:
Design of automatic regulators.
Design of algorithms for logic-discrete and functional grouped control.
Design estimated validation of algorithms of automated control systems for process flows.
Software tool for development and functioning of APCS included into full-scale model of a control object.
Universal modular graphic shell, which allows the capability of connection of external modules and generation of calculation patterns of a different class to be implemented in combination with capability for generation of video frames to display and control the calculations.
Capability of modeling of systems of different types within a single shell along with data interchange among different calculation programs via a single base of signals and synchronization.
Modeling and analysis of control systems.
Generation of a code for executive system.
Capability of remote tuning for programs combined on a target system via a generated code along with data output directly to the initial algorithm scheme.
SimInTech implements the following modes of operation:
MODELING, which ensures:
modeling of non-stationary processes in continuous, discrete and hybrid technical systems including for data interchange (synchronous or asynchronous) available with external programs and devices;
edition of parameters of block diagram and calculations in on-line mode;
real-time calculations or in simulation time zoom mode;
re-start, back-up and display of modeling results.
MONITORING AND CONTROL, which allows:
electronic (virtual) analogs of measuring instruments and control devices to be generated for operational monitoring and control of transient processes in a modeling object;
statical signals processing (including external ones) based on fast Fourier transform to be carried out.
CODE GENERATION, which provides:
automatic generation of a code in C language for one or, when in bulk mode, for several target systems using algorithm schemes typed in SimInTech;
assembly of a designed module, its loading onto a target system, tuning of module (algorithm) execution on an external target system;
automated arrangement of intradevice exchange in case several devices are programmed simultaneously.
ANALYSIS, which provides:
calculations of amplitude-phase frequency characteristics for any linear system and for a majority of non-linear systems (logarithmic gain, phase-frequency characteristic, different hodographs, etc.);
calculation of coefficients, poles and zeros for transfer functions.
OPTIMIZATION, which allows the following tasks to be solved:
parametric optimization of the automatic control system and identification of experimental data;
synthesis of optimal regulators and optimal control in multicriteron setting in case of available restrictions for values of dynamic variables, control actions, parameters of automatic control system elements, performance functionals.
SYNTHESIS, which allows:
regulators with preset characteristics to be synthesized using the frequency and root methods.