MFF (Motor Fingerprinting Functions)
ENSURING LIFETIME OPTIMAL FUNCTIONING
Our algorithms integrating the fields of signal analysis, system automation and power electronics enable continuous and accurate monitoring of motor response.
Our reaction time and frequency response analyzes provide in-depth information about the type of motor and its load, including reaction time, current frequency response and other relevant parameters
DETERMINATION OF ELECTRIC MOTOR CHARACTERISTICS
FRICTION SYSTEM CHARACTERIZATION
CONTINUOUS PARAMETER ACQUISITION
COMPREHENSIVE PARAMETER CHARACTERIZATION
REAL-TIME SELF-ADAPTATION
Proportional-Integral-Derivative (PID) control is widely used, but its gains optimized for specific conditions can limit its performance in case of changing conditions such as mechanical wear, temperature variations, or load mass. In such situations, considering alternative control strategies may be necessary to maintain optimal performance.
KOORD engineers overcome the limitations of the PID algorithm by using a control approach that detects, reacts and adapts to changes. This approach increases system robustness, eliminates downtime for manual adjustments, automatically manages wear and tear over time, and even optimizes power consumption. Using our algorithms, system changes are identified in real time, without process interruption, and controller parameters are automatically adjusted to optimize performance under the new conditions.
Automatic Fault Compensation
In order to guarantee user confidence in yours mechatronic systems, dependability studies, in particular reliability studies, must be carried out throughout the life cycle of the system. Defining reaction procedures to identified failures allows the system to be returned to a normal operating mode or to be shut down safely.
DIAGNOSIS of the mechatronic system
Mechatronic systems have various components interacting with each other, which makes them susceptible to faults that can have economic and image consequences. In order to protect your system, it is essential to accurately detect and locate any faults that may occur, in order to put it into the appropriate operating mode (degraded, shutdown, etc.). Through the use of our algorithms, monitoring and automatic fault detection can be achieved at the engine and subunit level of the mechatronic system.