Static Auto-tune:
The inverter extracts the motor parameters and creates the motor model to provide
precise control and smooth and comfort riding.
Auto-learning:
Motor parameters are estimated and saved at every start. This learning procedure helps
to keep riding quality when the motor parameters changes due to factors like temperature, etc.
Distance Approach:
By using this algorithm, there is no need to set jerk and deceleration parameters to
get suitable landing and leveling.
In this method by entering the distances of sensors to the floors, the inverter calculates the optimized S-curve
automatically.
Low-power Rescue Mode:
Especial power control algorithm for lower power consumption during rescue
process.
