How to use FPGAs for quadrature encoder-based motor control applications
By Glen Young, Actel
September 11, 2007 -- pldesignline.com
Precisely tracking speed, acceleration, and position of a motor's rotor is an essential requirement for many motor control applications found in everyday equipment such as fax machines, elevators, and medical equipment. A closed-loop control scheme is able to bring motor feedback information, such as back electromotive force (BEMF) voltage or supply current to the control system. Rotary encoding is a common mechanism for the delivery of accurate speed, acceleration, and position of the motor rotor.
Rotary encoders are commonly deployed in the closed-loop rotor systems used in a wide variety of applications from robotics and high end photographic lenses to opto-mechanical mice and trackballs to rotating radar platforms. A rotary encoder is an electro-mechanical device for converting the angular position of a shaft or axle to a digital code. For many applications and equipment that need to track object location, velocity and accelerations accurately, a rotary encoder offers a cost-effective solution.
Relative and Absolute are two primary types of rotary encoders. A quadrature encoder is in the relative encoder family and is most commonly used in high-speed motor control systems; it also facilitates the ability to determine motor direction.
To read the full article, click here
Related Semiconductor IP
- AXI to UCIe FDI Interface IP
- 45SPCLO UCIe-Class 1-32Gbps Low Power Receiver IP (NRZ)
- 45SPCLO UCIe-Class 1-32Gbps Low Power Transmitter IP (NRZ)
- Peripheral Sensor Interface (PSI5) Host Controller
- Link Acceleration Unit
Related Articles
- How to use FPGAs to develop an intelligent solar tracking system
- How embedded FPGAs fit AI applications
- How to use snakes to speed up software without slowing down the time-to-market?
- How to Design SmartNICs Using FPGAs to Increase Server Compute Capacity
Latest Articles
- CHIA: An open-source framework for principled, agentic AI-driven hardware/software co-design research
- Croc: Training the Next Generation Chip Designers on Domain-Specific End-to-End Open Source Silicon
- Design and Development of a Neuromorphic Silicon Suite: PVT Sensing, Stochastic LIF Inference, On-Chip STDP Learning, and Crossbar Programming
- LLM4RTL: Tool-Assisted LLM for RTL Generation
- Towards Delta Aware Training: Efficient DNN Weight Storage for Resource-Constrained FPGAs