Sensorless Control of Brushless Motors

Many applications would benefit from a brushless motor without a sensor. There are various options for realizing this. A method developed by maxon is now setting new standards for precision and reliability

  • Sensorless Control of Brushless Motors
    Sensorless Control of Brushless Motors
  • Sensorless Control of Brushless Motors
    Sensorless Control of Brushless Motors
  • Fig.1
    Fig.1
  • Fig.2
    Fig.2

Driving a brushless motor requires control electronics for precise commutation. However, this is possible only if the control electronics “know” the exact position of the rotor at all times. Traditionally, this information was provided by sensors, e.g. Hall sensors, installed inside the motor. But it can be done differently. Sensorless control methods use current and voltage information from the motor to determine the rotor position.

The motor speed can then be derived from changes in the rotor position, and this information can be used for speed control. More advanced sensorless control methods can even control the current (torque) and the position. Leaving out the sensors has a range of benefits, such a lower cost and space savings, because cables, connectors, and sensitive electronic circuits become unnecessary.

Sensorless controllers by maxon motor use three basic principles that are adapted specifically to maxon BLDC motors.

Principle 1: EMF method with zero crossing

The EMF method with determination of the zero crossing uses induced voltage (or EMF) in the non-powered phase during block commutation. The zero crossing happens in the middle of the commutation interval (fig. 1).  The time delay to the next commutation point can be estimated from the preceding commutation steps.

The EMF method with zero crossing works only when the speed is high enough, because EMF becomes zero at standstill. Starting up the motor requires a special process, similar to step motor control, and must be configured separately. True sensorless commutation is possible only with motor speeds of 500–1000 rpm and up. The commutation step frequency is used for speed control.

The limited feedback information puts some constraints on the motor dynamics, although this can be improved by integrating estimation methods into the control algorithm (observer, Kalman filter, etc.). The EMF method with zero crossing also has a range of benefits: It works for all brushless motor models, and it’s robust and cost-effective. The approach is used in many standard products, such as the maxon ESCON Module 50/4 EC-S


Principle 2: Observer-based EMF method


Observer or model-based EMF methods use information about the motor current to determine rotor position and speed. The model-based approach yields a much higher resolution of the rotor position. This enables sinusoidal commutation (or FOC, field-oriented control), with all its benefits: Higher efficiency, lower heat generation, less vibration and noise. However, the observer-based EMF method also requires a minimum speed of several 100 rpm to function properly.

Principle 3: Magnetic anisotropy methods


Methods based on magnetic anisotropy deduce the rotor position from the motor inductance, which is minimal when the magnetic flows of the rotor and the stator are in parallel in the magnetic return (fig. 2). Measurement is achieved by means of brief current pulses, which do not cause the motor to move. Unlike EMF-based methods, this method also works at standstill or very low speeds, and it permits sinusoidal commutation.

The measured signals are highly dependent on the motor type. The rotor position is determined in a model of the motor, which needs to be parameterized and adapted for each motor. Controllers based on magnetic anisotropy are therefore highly specific products – “plug and play” is not an option. The computation effort required for evaluating the rotor position also limits the maximum speed.

Why sensorless control?


In price-sensitive applications, the use of sensorless motors may reduce the cost. Hall sensors, encoders, cables, and connectors become unnecessary. Typical applications in this field are fans, pumps, scanners, mills, drills, and other fast-turning applications with a relatively modest control performance that do not require a tightly controlled start-up. For high quantities, a customized version of the EMF-based controller makes sense.  

Cost optimization for high control performance


Cost savings aren’t the only reason to choose sensorless control. Applications like door drives or bike drives require high controller performance. Jerk-free motor control from zero rpm is important, as are high dynamics and sinusoidal commutation for noise avoidance. All this needs to be realized without using an expensive encoder. Over the last few years, high-quality sensorless controllers based on the anisotropy method have become established, including maxon’s new High Performance Sensorless Control (HPSC, see box). However, the engineering effort required for adapting the model parameters can only be justified for quantities upward of a few hundred.

Rough ambient conditions


Sensorless control may also be required in situations where vulnerable sensor electronics need to be avoided in a motor. Examples include applications in very high or low ambient temperatures, cleaning and sterilization in medical technology, or ionizing radiation in space, nuclear facilities, or medical settings. The lower number of motor connectors also makes integration easier if space is limited.

The required control quality depends on the application. Which sensorless method fits best must be decided on a case by case basis. For example, hand-held dental tools for drilling or grinding need high speeds, while lower speeds and controlled torque are required for fixing screws in surgery.

Conclusion


There are three main reasons for choosing sensorless control: Cost savings, space savings, and operation in environments unfavorable to sensors. The EMF method with zero crossing determination is widespread in cost-sensitive applications that run at high speeds. Sensorless control from standstill and at low speeds requires more advanced methods.

The implementation effort is greater and includes modeling and parameterization. Cost savings are secondary. Field-oriented control yields a higher efficiency, less heat build-up, and a lower vibration and noise level. All these are advantages that come to bear especially in hand-held medical devices.
 

Graduated in political sciences and international relations in Paris, Anis joined the team in early 2019. Editor for IEN Europe and the new digital magazine AI IEN, he is a new tech enthusiast. Also passionate about sports, music, cultures and languages. 

More articles Contact