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Bachelor Thesis: Sensorless speed control of DC motors

21.11.2017, Abschlussarbeiten, Bachelor- und Masterarbeiten

Measuring the speed of a dc motor can be an essential requirement for many applications, for example, in industrial automation or robotics. Peripheral sensors, such as Hall sensors with a magnet mounted on the shaft, are typically used. These sensors can give accurate information about motor speed, but require space, cabling and increase costs.

Within this thesis, an alternative approach based on the properties of the motor itself is investigated. It is based on the so-called Back-EMF voltage, which is a voltage that appears in the opposite direction to current flow as a result of the motor’s coils moving relative to a magnetic field. The magnitude of the Back-EMF is directly related to the speed of the motor, thus, measuring the value of the Back-EMF voltage allows us to calculate the speed of that motor. The goal of this thesis is to build a sensorless speed control system based on this speed estimation and to evaluate its control performance.

You will use existing hardware based on an STM32F103 ARM Cortex M3 microcontroller, which will generate PWM signal for DC motors control. The MOSFET base DC driver is switching the motor on/off by connecting motor negative and positive terminal to ground or Vcc. To measure the Back-EMF voltage, two channels of a 12Bit Analogue to Digital Converter on the microcontroller will be used.

More infos can be found on our website.

Peripheral sensors, such as Hall sensors with a magnet mounted on the shaft, are typically used to measure the speed of DC motors. These sensors can give accurate information about motor speed, but require space, cabling and increase costs.

Within this thesis, an alternative approach based on the properties of the motor itself is investigated. It is based on the so-called Back-EMF voltage, which is a voltage that appears in the opposite direction to current flow as a result of the motor’s coils moving relative to a magnetic field. The magnitude of the Back-EMF is directly related to the speed of the motor, thus, measuring the value of the Back-EMF voltage allows us to calculate the speed of that motor. The goal of this thesis is to build a sensorless speed control system based on this speed estimation and to evaluate its control performance.

You will use existing hardware based on an STM32F103 ARM Cortex M3 microcontroller, which will generate PWM signal for DC motors control. The MOSFET base DC driver is switching the motor on/off by connecting motor negative and positive terminal to ground or Vcc. To measure the Back-EMF voltage, two channels of a 12Bit Analogue to Digital Converter on the microcontroller will be used.

More infos can be found on our website.

Kontakt: clemens.schuwerk@tum.de

Mehr Information

http://www.lmt.ei.tum.de