Software can help digital
servo drives better
protect motors by
estimating actual internal
winding temperatures —
using only terminal
In the last several years, many digital servo drive producers have developed features to prolong the life of both the rotary and linear motors they are paired with. At one time, a simple thermal switch or thermal-couple embedded in the motor’s winding was all that was required to protect the motor from overheating. Today, this is no longer the case as users are pushing motors closer to their theoretical torque and power limits. To protect motors under these rated conditions, accurate thermal models of the motor are needed. Basic thermal models typically monitor the motor’s average winding current. More advanced models monitor the motor’s rotor position, speed, ripple current, and average winding current. All of these models require thermal impedance information provided by the motor manufacture and knowledge of the ambient temperature. These models can then be programmed into a DSP and used in real time to predict both the motor’s winding and case temperatures.
The user must decide what the maximum allowable winding or case temperature can be. This is important as the higher the average winding temperature is allowed to go, the shorter the predicted life of the motor will be. In addition, the user may decide if the motor should fault in an over-temperature condition or have its output torque reduced to a value lower than its continuous rating in order to allow the motor time to cool. All these features are economically possible with the continual introduction of new lower cost DSPs and mixed-signal ASICS.
Servomotor thermal ratings
For a given motor package size and heatsink combination, there is a fundamental limit on the maximum allowable continuous power loss that can be dissipated as heat. This assumes both the ambient and maximum allowable winding temperatures are known as well as the desired life expectancy of the motor. Servomotors are also specified as having a particular continuous shaft torque rating. This rating coincides with the maximum allowable continuous power loss point. In general, it is acceptable for the motor to have short excursions above the continuous allowable operating point, but to allow the motor to cool they must be balanced with power loss points below the continuous power loss average point. If the motor is mounted to a gearbox, the continuous torque rating has to be decreased.This is because the gearbox adds another thermal interface and generates its own heat that must be accounted for in the total power loss budget.
One important servo motor specification is the insulation winding class. Typical permanent magnet brushless motors use class H winding insulation. This means that for every 10° C rise in temperature, the average life expectancy of the winding insulation is reduced by approximately 50%, as shown in Figure 1.
For class H insulation, setting a maximum allowable winding temperature of 180° C results in an average life of 30,000 hours or approximately 3.4 years of continuous duty. If the servomotor can potentially come into physical contact with an operator, the maximum case temperature is usually limited to about 50° C. This results in maximum average winding temperatures much lower than 180° C.
The losses for a three-phase sinusoidal servomotor can be modeled as the sum of several components.
Each of these loss components can be approximated. Rm is the motor’s electrical resistance phase to phase at a specified operating temperature. The motor’s effective phase current, irms must also be determined from the motion profile.
Shown here is the relationship between the motor speed and magnetic loss.
The value of n can range from one to two depending on the motor design. The values for K1 are generally quite small allowing for this term to be safely neglected for low pole count motors.
This illustrates the relationship between the mechanical losses and speed. This term is the combination of bearing friction, F and viscous damping, K2. Again, this term is also generally neglected except for cases of very high speed or very small operating torques.
These assumptions allow us to approximate with.
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It is very common to operate servomotors above their continuous rating for short periods of time. A typical speed vs. torque curve for a permanent magnet servomotor is shown in Figure 2. The points labeled 1, 2, 3, and 4 relate to a common trajectory. The servomotor starts at rest at point 1, then applies near-full maximum torque at zero speed point 2. The motor then speeds up at point 3, and (when it achieves constant velocity) decreases towards point 4.
The amount of time the motor can spend in the intermittent region varies with motor design. However, using the motor’s case thermal time constant τm a derating curve as a function of duty cycle, D can be obtained. The definition of duty cycle D is given.
For brushless permanent magnet motors, the torque is directly related to the motor current. Motor manufacturers will then give continuous current overload curves for various intermittent duty cycles. A typical current derating curve for various duty cycles is shown in Figure 3 for a motor with a 10-minute thermal time constant.
These derating curves are calculated using.
For a simple rectangular pulse of current, Ploss total is constant and the motor’s case temperature, Tc can be determined by.
The motor’s case to ambient thermal resistance, Rθca is provided by the motor manufacture and has the units of degrees C/Watt.
A pick-and-place mechanism might be used and programmed such that the transit time between picking and placing a part is minimized. This would require the use of a triangular motion profile. Figure 4(a) shows the velocity profile for this simple move with a duty cycle, D of 0.5. The corresponding motor current, I, is shown in Figure 4(b). For this profile, the rms current can be calculated using.
The steady state power loss is now approximated using equation . Using this value, the motor case temperature, Tc, can be estimated using equation and is plotted in Figure 4 (d).
The problem now arises on how to estimate the average winding temperature, Twave and more importantly its instantaneous value, Tw. The real winding temperature will have a profile similar to Figure 2 (d); however, it will have a much shorter time constant due to the windings having less thermal capacitance and lower thermal resistance than the motor case. In order to estimate this, a higher order transient thermal model needs to be developed.
Transient Thermal Model
Numerous laboratory tests show that two cascaded single-order models represent fairly accurately both the winding and case thermal dynamics. The equivalent secondorder circuit is shown in Figure 5. It has two time constants, the winding and the motor. The winding time constant characterizes the transient thermal impedance of the wire itself to the motor housing. The motor time constant characterizes the transient thermal impedance of the motor housing and heatsink to the ambient air. The winding time constant is usually an order of magnitude shorter than the motor time constant.
The additional equation for the winding temperature is.
Using two time constants allows for an accurate model of the winding temperature as a function of motor current in excess of twice the continuous values. This is important, as it is possible to burn a motor up without its case warming at all.
Physically, it takes a certain amount of time for the winding heat to transfer from the wire to the motor case. As the case slowly warms up, its heat is conducted through both its heatsink and air. This second order model can be used to prevent fusing the motor wire. In addition, the model can be slightly modified to take into account winding hot spots.
Most servomotors include some type of thermal switch embedded in the windings. The frequency response of this switch makes it impractical for it to prevent motor thermal damage when the real motor currents are in excess of two times the continuous rating. In addition, there is usually only one switch in the motor, and chances are it is not located where a thermal hot spot might develop. When the peak-to-average ratio in motor current is higher than two, the switch and most thermal couples are ineffective and a real- time motor thermal model must be used.
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Usually, the motion profiles are not simple pulses as in the previous example. The digital drive must now take into consideration any arbitrary torque/current profile. This is handled by the drive solving in real time the estimation of the motor winding and case temperature using the digital form of the equations for Tc and Two.
Several drawbacks of the simple thermal model include the omission of the PWM ripple currents. Low inductance motors that operate at relatively high bus voltages can exhibit significant current ripple. Depending on the switching frequency of the digital drive, it may be difficult to get enough current samples to adequately measure the ripple current. This drawback is handled by including additional derating factors for the motor.
Finally, the ambient temperature still needs to be measured as the models can only provide relative temperature information.
To best use a servomotor’s safe operating area, detailed information about the motor’s transient thermal behavior is needed. Using this information, a simple thermal model can be employed by a digital drive to predict the winding temperature under motor operation. When unsafe conditions arise, the drive can then make decisions on how to best alert the user while protecting the motor.
The user shouldn’t oversize the motor to the point that its cost is out of line. Typically, the smallest and lowest-cost motor to get the job done is chosen. It must provide the needed continuous and peak torque while maintaining a maximum winding temperature to ensure an average life that is acceptable for the application.
As the cost of DSPs continues to decrease and processing power increases, it will become feasible to incorporate better thermal models of the motor. This will ultimately allow the motors to operate closer to their theoretical limits and provide the best value to the user.