TexasInstruments Inc.'s TMS320F2806x Piccolofloating-point MCUs offers an enhanced math engine specifically designed tosimplify programming and optimize performance in real-time control applicationsthat may require integrated communications. Developers of energy-efficientmotor control and renewable energy applications can now use a single F2806x MCUto execute control loops as well as power line communications (PLC) protocolsand modulation schemes. The F2806x MCUs also delivers a broader range ofconnectivity and memory options and are backed by TI's robust tools and freecontrolSUITE software. For a video overview, go to www.ti.com/f2806x-pr-v.
Key features andbenefits of F2806x Piccolo floating-point MCUs
Cutting-edge math engine comprised of 80 MHz floating-point C28x core, new Viterbi Complex Math Unit (VCU) and Control Law Accelerator (CLA) options
Floating-point core eases programming, improves compatibility with meta-language tools and improves performance by up to 40 percent over fixed point
VCU complex math unit provides 75 tailored math instructions to accelerate processing of communications algorithms, such as those for PLC, by a factor of up to 7X
Increased communications and throughput via USB 2.0 full-speed (host and device), CAN and direct memory access (DMA)
15+ MCUs provide an increased memory range of 52 - 100KB RAM, 128 - 256 KB flash as well as options for 80 and 100 pin packages
Control-oriented peripherals, including industry's highest resolution PWMs (150ps), 3 MSPS 12-bit analog-to-digital converter (ADC), and 3 analog comparators with 10-bit reference
Low-cost F2806x controlSTICK and modular controlCARD enable easy evaluation with TI's compatible experimenter and real-world hardware application development tools
Free controlSUITETM software includes application and math libraries with source code as well as detailed documentation so developers can easily, fully harness F2806x features
IQmath Library for code compatibility and scaling throughout the C2000 platform, including the low-cost Piccolo series and high-performance Delfino floating-point series
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