32-bit microcontrollers integrate HMI functions for contactless operation

Adding 32-bit microcontrollers with touch sensing and voice recognition capabilities for contactless operation to the RX family, Renesas Electronics has added the RX671 microcontrollers to its RX600 series. They are built around an RXv3 CPU core operating at 120MHz and integrates flash memory supporting fast read access at a clock speed of 60MHz, for a CoreMark score of 707. Power efficiency is claimed to be among the best in the class at 48.8 CoreMark/mA.

They are available in a variety of packages with pin counts ranging from 48 to 145 pins with up to 2Mbytes of flash memory and 384kbytes of SRAM. Typical target applications require advanced functionality, power efficiency and a compact size, for example heating, ventilation, and air conditioning (HVAC), smart meters, and smart home appliances. The RX671 is available with 2Mbyte of flash memory in a 64-pin TFBGA package which measures just 4.5 x 4.5mm, one of the smallest microcontrollers with 2Mbyte flash memory, said Renesas.

The RX671 microcontrollers can be used in contactless applications which integrate a capacitive touch sensing unit with high sensitivity, noise tolerance and which can be used to implement contactless proximity switches. The serial sound interface can be used to connect digital microphones that support voice recognition over long distances. Used in combination with voice recognition middleware from Renesas’ RX ecosystem partners, these features enable developers to create contactless operation functions using voice recognition in a short amount of time, advised the company.

The RX671 integrates Renesas’ Trusted Secure IP as a part of its built-in hardware security engine which comprises an encryption engine with AES, RSA, ECC, and SHA support, a true random number generator (TRNG), and an encrypted key management mechanism. Combining these with the dual-bank function and protection function of the on-chip flash memory, allows users to implement capabilities such as secure firmware updates and secure boot.

Renesas also offers two evaluation boards, the Target Board for RX671 to evaluate the RX671 without the need for a separate debugger and the Renesas Starter Kit+ for RX671 for evaluation. Both boards are equipped with connectors to the Wi-Fi Pmod Expansion Board (RTK00WFMX0B00000BE) for evaluation using wireless network connectivity. The combination of Renesas Starter Kit+ for RX671 and the Wi-Fi Pmod Expansion Board is FreeRTOS-certified, allowing users to obtain certified sample programs from GitHub.

The RX671 microcontrollers are available now in 64-, 100-, and 144-pin LFQFP packages. Mass production of the 48-pin HWQFN, 64-pin TFBGA, 100-pin TFLGA, and 145-pin TFLGA microcontrollers is scheduled to start in Q1 2022.

http://www.renesas.com

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Motor driver reduces BLDC motor design time to minutes

Claimed to be the first 70W brushless DC (BLDC) motor driver to provide code-free, sensorless trapezoidal and field-oriented control (FOC), the MCF8316A and MCT8316A BLDC motor drivers enable engineers to spin a BLDC motor in less than 10 minutes, said Texas Instruments. This eliminates months of design time for the design of industrial systems, whether major or small home appliances and medical applications such as ventilators and continuous positive airway pressure (CPAP) machines.

The motor drivers integrate three gate drivers and six high- and low-side MOSFETs with 50mOhm of on-state resistance (RDS(on)) each, to enable up to 70W of power with 8A of peak current for 12- and 24V systems. They also include a low-dropout regulator, power MOSFETs, DC/DC step-down regulator and current-sense amplifiers, eliminating as many as 18 discrete ICs to reduce board space by as much as 70 per cent, said Texas Instruments.

“The need for real-time motor control is more critical than ever, thanks to broad-reaching trends like power efficiency and automation, as well as increasing demand for quieter motors,” said Noman Akhtar, senior research analyst, Omdia. “A growing number of industrial systems are transitioning from AC induction to BLDC motors, which are more power-efficient but require complex hardware and optimised software designs to deliver high performance.”

The MCF8316A and MCT8316A BLDC motor drivers include commutation control algorithms that eliminate the need to develop, maintain and qualify motor control software, which can take months. The algorithms, and high level of integration, enable the motor drivers to manage critical functions such as motor fault detection, while implementing protection mechanisms to increase system reliability. They integrate sensorless technology to determine rotor position and eliminate the need for external Hall sensors.

The MCF8316A sensorless FOC motor driver extracts motor parameters, enabling designers to quickly tune a motor while delivering consistent system performance regardless of motor manufacturing variations. The MCT8316A sensorless trapezoidal control motor driver enables designers to tune a motor using only five hardware pins, simplifying systems by eliminating the need for a microcontroller interface.

Both motor drivers provide advanced real-time control capabilities to help engineers achieve industry-leading acoustic performance in applications such as air purifiers, refrigerators, washing machines and fans. The MCF8316A includes a patented, precise automatic dead-time compensation technique that compensates for current distortion to optimise motor acoustic performance. The MCT8316A includes variable trapezoidal control techniques to reduce motor noise.

The MCT8316A sensorless trapezoidal control motor driver can reach a maximum motor electric speed of 3.5kHz, which is faster than any other code-free, sensorless motor driver. This speeds system response in applications such as robotic vacuums that require fast and precise motor control.

According to Texas Instruments, the motor drivers are the first in the industry to provide a quick and controlled way to actively decelerate a motor, enabling engineers to stop a motor 50 per cent faster than traditional motor-control techniques. They can also stop a motor without indiscriminately pumping energy back into the rail, which protects the system from damage.

Pre-production versions of the MCF8316A and MCT8316A are available in a 40-pin, 5.0 x 7.0mm quad flat no-lead package.

http://www.ti.com

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Compact 1.6Tbits per second Ethernet PHY connects to 5G, AI and data centres

To meet the demands of increased data centre traffic driven by 5G, cloud services and artificial intelligence (AI) and machine learning (ML) applications, routers, switches and line cards need higher bandwidth, port density and up to 800Gigabit Ethernet (GbE) connectivity, says Microchip. The company has introduced the PM6200 META-DX2L PHY to overcome the signal integrity challenges associated with the industry’s transition to the 112Gbits per second PAM4 serialiser/deserialiser (SerDes) connectivity sufficient to support the latest pluggable optics, system backplanes and packet processors. Claimed to be the industry’s most compact, 1.6Tbits per second, low-power PHY (physical layer) it reduces power per port by 35 per cent compared to its 56Gbit per second PAM4 predecessor, the META-DX1, which was the industry’s first Tbit-scale PHY, said Microchip.

Commenting on the industry’s transition to a 112Gbit per second PAM4 ecosystem for high-density switching, packet processing and optics, The Linley Group’s principal analyst for networking, Bob Wheeler, commented: “Microchip’s META-DX2L is optimised to address these demands by bridging line cards to switch fabrics and multi-rate optics for 100, 400 and 800GbE connectivity”.

The industrial temperature-grade PHY that offers versatile connectivity, allowing for design reuse across applications, for example from a retimer, gearbox or reverse gearbox to a hitless 2:1 multiplexer (mux). The configurable crosspoint and gearbox features make full use of a switch device’s I/O bandwidth to enable the flexible connections necessary for multi-rate cards that support a range of pluggable optics. The low-power PAM4 SerDes enables the PHY to support the next-generation infrastructure interface rate for cloud data centres, AI/ML compute clusters, 5G, and telecom service provider infrastructure, over long-reach direct attach copper (DAC) cables, backplanes, or connections to pluggable optics.

According to Microchip, the META-DX2L is offered in the industry’s smallest package size, with dimensions of 23 x 30mm.

Microchip provides a full set of design-in collateral, reference designs, and evaluation boards to support customers building systems with META-DX2L devices.

Initial META-DX2L devices are expected to sample during Q4 2021.

http://www.microchip.com

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Software development kit accelerates edge AI vision, says Adlink

Users can develop a proof of concept (POC) for edge artificial intelligence (AI) vision applications in two weeks, using the Edge Vision Analytics (EVA) software development kit (SDK), says Adlink.

The SDK supports includes a no-code graphical user interface (GUI) and support for more than 10 types of cameras, field-ready plug-ins, ONNX runtime, TensorRT and OpenVINO for fast AI inference validation. The SDK’s integrated development environment (IDE) is currently built into Adlink’s NEON series AI smart cameras and EOS series AI vision systems for AI-enabled machine vision project development.

It is a one-API framework that lets users build edge AI vision applications with minimal coding. Users without deep AI knowledge or expertise can use plug-ins and reference codes to develop an edge AI POC using the drag-and-drop GUI.

The GUI allows easy switching of image sources, image processing adjustment, and AI models to shorten the development time. Each step can be reviewed, from image capturing, image pre-processing to AI inference, to verify and debug if necessary, shorting the time to deployment.

Currently, EVA SDK can be used in a wide range of applications, including safety AI, behaviour analysis, object detection and object classification, for use in smart factories, semiconductor, electronics and automobile manufacturing.

Adlink also offers the Fast AI PoC Kit including the all-in-one NEON AI smart camera with accessories for EVA SDK, to shorten the integration time for hardware and software.

EVA SDK will continue to release more reference codes to support more edge AI applications.

Adlink is an industrial AI vision expert with 25 years’ of experience in machine vision. It provides application-oriented, ready-to-develop AI models to manufacturers.

Adlink Technology manufactures edge hardware and develops edge software for embedded, distributed and intelligent computing – from powering medical PCs in the intensive care unit to building the world’s first high-speed autonomous race car.

The company holds top-tier edge partnerships with Intel, Nvidia, AWS and SAS, and also participates on the Intel Board of Advisors, ROS 2 Technical Steering Committee and Autoware Foundation Board. Adlink contributes to open source, robotics, autonomous, IoT and 5G standards initiatives across more than 24 consortiums, driving innovation in manufacturing, telecommunications, healthcare, energy, defence, transportation and infotainment.

http://www.adlink.com

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