ecICP provides powerful, proven, and reliable methods for automated model generation and system-wide parameterization for real-world application testing. ecICP for MATLAB is based on MATLAB software. Unlike previous software, it does not require theoretical knowledge and can be easily used in a very wide range of fields. Especially in the limited development time, the need for highly reliable, high quality results. It can also be used in a short time in the fields listed below: acquisition of data, experimental measurement, management, automation of test components, modeling, simulation, control engineering, real-time, HiL, micro-control development.
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Highlights of ecICP for MATLAB
"Integration with MATLAB
"Read and write MATLAB compatible and ASICII data files
"Easy operation and easy learning
"Based on proven and reliable methods
"Users only need to provide basic information about experimental data and closed circuit conversion time
"Automatically calculate control parameters to avoid the effects of Windup
"Visual display of results
" Design of a stable, unstable control system
" Can be applied to data acquisition, experimental measurements, automation of test components, models, simulations, control engineering, instant, HiL and microcontrollers
Close loop control dynamics
main feature
ICP for Matlab automatically sets up dynamic models to optimize controller structure and parameters. Model and controller parameters can be derived directly from the test results. In addition, different operating areas are also considered. The controller is constructed in a general and extended structure based on a common compensation model (PI, PID) and considers "Anti-Windup".
"The user interface of ICP for Matlab is equipped with wizards for each step of the condition setting.
From the user's point of view, just consider the following operations:
" Naming test files and their composition
"Set the operating range as needed
"Setting of closed-circuit conversion target time
" Press ICP Run button to start simulation
The resulting controller and its parameters can be used directly in simulation and fast prototyping environments for real-time and non-real-time applications.
ecCST's rich control algorithm provides powerful techniques for controller parameter set bumpless conversion. ecCST has very significant features in processing time and memory efficiency, and the algorithm is also suitable for microcontrollers.
user
ICP for Matlab is very flexible and easy to use. No in-depth theoretical knowledge background is required. Suitable for calibration engineers, test component engineers and operators, R&D and field engineers, simulation models and control development engineers.
Adaptation field
Applicable to the following aspects: various flow control, current, voltage, pressure, torque, force, speed, dissipation, temperature, speed, position, etc.
Industrial field
Suitable for the following industries: automotive, aerospace, electric power, energy, minerals, drive, machinery, water, chemical and process control.
Extract measurement and automatically create models
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