Predicting Performance Curves

We have been asked whether IMS has Speed/Torque curves for the IM1007 with a 34 frame single stack motor at 40 volts. The answer is no. However, to use existing speed/torque curves to predict performance curves for different supply voltages and currents, simply use the following rules of thumb.

For reduced supply voltage, multiply the speed axis by the ratio of (Actual volts/Test volts). In other words, Predicted speed = Test speed x (Actual volts/Test volts), where test speed and test volts are those listed in the catalog and actual volts is what you have available. The speed/torque curve in the catalog shows that an 80 volt supply with a 6 amp drive produce 100 oz in of torque in a single stack 34 frame motor at 5000 full steps per second [FSPS].

If everything else is equal, but you only have 40 volts to work with, your torque at each given speed will be reduced. The ratio of the voltages is 40/80 = 1/2, so all things being equal, multiply the speed axis by 1/2. The result is 100 oz in of torque at 2500 FSPS instead of 5000 FSPS. If the supply voltage is reduced by a factor of two, divide the speed axis by 2 to determine predicted performance.

For reduced current, multiply the torque axis by the ratio of (Actual current / Test current). In other words, Predicted torque = Test torque x (Actual current/Test current), where test torque and test current are those listed in the catalog and actual current is what you have available.

The speed/torque curve in the catalog shows that an 80 volt supply with a 6 amp drive produce 100 oz in of torque in a single stack 34 frame motor at 5000 full steps per second [FSPS]. If everything else is equal, but you only have 3 amps to work with, your torque at all speeds will be reduced. The ratio of the currents is 3/6 = 1/2, so all things being equal, multiply the torque axis by 1/2. The result is 50 oz in of torque at 5000 FSPS instead of 100 oz in. If the available current is reduced by a factor of two, divide the torque axis by 2 to determine predicted performance.


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