Brushed DC Motors and How to Drive Them detalis.

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DC electric motors have been around for nearly two hundred years, with a steady series of refinements in that time. More recently, brushless DC motors have become increasingly popular but for many applications brushed DC motors are still the right choice. Brushed motors are lower cost and are simpler to drive, so they remain a popular option. In this article, we’ll explain the basics of brushed DC motors, and then look at the circuitry required to drive them. We’ll also introduce brushless DC motors and their pros and cons. Brushed DC Motor Basics Going back to basics, the fundamental principle of an electric motor is, of course, that it converts electricity into motion. It does this through the interaction between magnets, one of which is typically created by passing a current through wire bound around a ferrite core. The current flowing through the wire generates the second magnetic field. This interacts with the primary magnetic field to create an opposing force that moves one...
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High level synthesis of automatic devices.

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 A require a sophisticated framework of sensors to function. These sensors include LiDAR, Radar, video, etc. that continuously generate a high volume of data in real time about the environment surrounding the car. The sensors constantly send their output for analysis to powerful domain controllers connected to a processing unit. The discrete data from different sensors are then merged to create meaningful information related to the vehicle’s location, speed, direction and surroundings. This process is known as sensor fusion.

Sensor Fusion is typically done using custom hardware – either FPGA or ASICs. The data is then processed to make decisions that impact the ADAS systems –such as turns, breaks or speed adaptation. The hardware incorporates algorithms which involve machine learning in sophisticated artificial intelligence (AI) applications to facilitate realtime processing of the sensor data.

In this white paper by Mentor, a Siemens Business, explore how autonomous designers are grappling with new silicon architectures optimized for neural computing and computer vision to make autonomous vehicle solutions better and faster to market than ever before.

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