Vibration-tolerant MEMS gyroscope positions aircraft

A high stability and vibration-tolerant digital MEMS gyroscope from TDK, the GYPRO 4300 features a ±300 degrees per second input measurement range, together with 200Hz bandwidth and one millisecond latency with a closed-loop architecture.

It is the first product in the company’s Tronics GYPRO4000 digital MEMS gyro family which complements the recently announced AXO300 closed loop digital accelerometers range. 

It offers precise navigation and positioning, with bias instability of 0.5 degrees per hour as typical value (two degrees per hour maximum) and an ARW (angular random walk) of 0.1 degrees per square hour. The GYPRO4300 is a miniature, digital and low-SWaP (size, weight and power) high performance MEMS gyro, said TDK, for precise positioning, navigation and stabilisation functions in dynamic applications such as railway, land vehicles, VTOL (vertical take off and landing) aircraft and UAV (unmanned aerial vehicles), marine and sub-sea systems, bore hole drilling and surveying instruments. 

The closed loop architecture offers a strong vibration rejection of 0.5 degrees per hour per g² under harsh conditions. The GYPRO4300 gyros are housed in a miniature, hermetic, ceramic J-lead package that ensures long operational and storage life and guarantees a high compliance with the stringent thermal cycling requirements of critical applications. 

There is also a 24-bit digital serial peripheral interface (SPI) for a swift integration into inertial navigation systems (INS), inertial measurement units (IMUs) as well as attitude and heading reference systems (AHRS). To minimise mechanical cross-coupling in multi-axis applications, the GYPRO4300 is available in three frequency ranges. 

Suitable applications for the miniature, low power consumption, the Tronics GYPRO4300 gyro is an cost-effective and low-SWaP alternative to bulky, expensive, and power-consuming solutions like dynamically tuned gyroscopes (DTGs) and fibre optical gyroscopes (FOGs). The solid-state architecture also reduces the number of internal components and system complexity required. As a result, the GYPRO4300 demonstrates a MTBF (mean time between failure) higher than 1,000,000 hours, more than 10 times better than incumbent DTGs and FOGs with similar performances, said TDK. The built-in self-test ensures both an initial verification of the sensor’s integrity and a continuous in-operation functionality test, advised TDK. 

http://www.tdk-electronics.tdk.com

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Industrial RFID tagging increases sensitivity and memory to diversify

In comparison to the earlier memory ICs produced by NXP, the UCODE 9xm has three times the sensitivity. It also has customer-configurable memory options, enabling more diverse objects to be tagged. Use in industrial tagging, it delivers an accurate picture of the supply chain, said NXP.

The IC is designed to improve overall system reliability and accuracy, said NXP, and enables customers to use smaller tag antennas, allowing smaller objects to be individually tagged and incorporated into smart manufacturing processes, supply chain management and tracking applications.  The tag can be used on a variety of object types, delivering a more complete view of the supply chain.

RAIN RFID tagging has become a crucial component for automated industrial processes but tags with the memory needed to support these processes often do not deliver the same read and write performance as lower memory devices, making it difficult to tag all necessary items, reducing system efficiency. UCODE 9xm combines flexible, high capacity memory options with advanced read and write performance to increase overall system performance.

From smart manufacturing to supply chain management, industrial environments require complex process flows and advanced automation, explained Ralf Kodritsch, senior director, UCODE, NXP. He said that the UCODE 9xm can streamline these processes by making it easier to individually track the products and tools involved. 

UCODE 9xm has a read sensitivity of around -24dBm and a write sensitivity of about -22dBm makes tag encoding faster.

It also has a total of 880bits of memory space shared between the EPC and user memory banks, with three flexible memory configurations, selectable by the customer based on their use case, that offer up to 496 bits of EPC (electronic product code) memory and up to 752 bits of user memory, to store manufacturing data such as lot number, production date or process parameters. A single IC can also be used to fulfill a number of different use cases.

A memory safeguard protects data and ensure accuracy, including an error correction code (ECC) algorithm and parity checks. Integrated BlockPermalock protects sections of data from change, while still allowing other sections to be added, edited or deleted. Independent access and kill passwords provide additional data security, preventing unauthorised users from erroneous or malicious actions.

The UCODE 9xm is available now. 

http://www.nxp.com

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RISC-V ASSP adds voice control 

Developed in partnership with RISC-V ecosystem partners, the R9A06G150, 32bit ASSP is claimed to be the first RISC-V microcontroller designed for voice-controlled HMI (human-machine interface) systems. 

It provides a cost-effective, production-ready voice control system that eliminates the need for RISC-V tools and upfront software investment.

The ASSP can be designed into devices used in residential and commercial building automation, home appliances, toys and healthcare devices. It supports multiple languages and user-defined keywords for voice recognition. The R9A06G150 is pre-programmed using specialised application code developed by independent design houses, added Renesas.

The R9A06G150 voice-control HMI ASSP is based on RISC-V processing IP from Andes Technology which incorporated its AndesCore D25F CPU core based on the AndeStar V5 architecture. “The 32-bit AndesCore D25F was engineered to deliver high per-MHz performance in a small silicon footprint,” explained Frankwell Lin, Andes’ chairman and CEO. 

Renesas will deliver the first RISC-V voice-control ASSP pre-programmed with dedicated application code developed by Cyberon, an independent design house, specialising in voice-recognition technology, and Orbstar, a systems integrator specialising in embedded solutions Segger Microcontroller’s ecosystem, including Embedded Studio and J-Link will provide support for the voice-control ASSP. 

The R9A06G150 voice control HMI ASSP features a 100MHz CPU with DSP instructions and floating-point extension. Low active current, reduced standby current, background operation, SRAM power-off choices, fast wakeup and low power timers contribute to low energy consumption. The ASSP is controlled by external host I/F via SCI/Uart, SPI, I3C or I2C.

It also features 256kbyte, 128kbyte RAM and 16kbyte data flash memory. There is also a QSPI (queued serial peripheral interface) for memory expansion.

The R9A06G150 32-bit MCU voice-control HMI ASSP is available now in a 24-, 32- or 48-lead HWQFN package.  

Renesas also offers a reference kit for the ASSP, which includes hardware, software, tools, hardware/software datasheets, GUI manual and app notes.

http://www.renesas.com

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Full stack, AI-driven EDA suite designs, verifies, tests and manufactures AI chips

At this year’s Synopsys Users Group (SNUG) Silicon Valley Conference, Synopsys, launched Synopsys.ai, a suite of AI-driven solutions for the design, verification, testing and manufacturing of advanced digital and analogue chips. Engineers can now use AI at every stage of chip design, said Synopsys, from system architecture to design and manufacturing and access the solutions in the cloud. 

The Synopsys.ai EDA suite includes AI-driven tools. One is digital design space optimisation to achieve power, performance and area (PPA) targets which boosts productivity.

There is also analogue design automation for the rapid migration of analogue designs across process nodes.

Verification coverage closure and regression analysis is also in the suite, providing  faster functional testing closure, higher coverage and predictive bug detection, said Synopsys.

There is also automated test generation resulting in fewer, optimised test patterns for silicon defect coverage and faster time to results.

For manufacturing, there are tools to accelerate the development of lithography models with high accuracy to achieve the highest yield.

“Increased complexity, engineering resource constraints and tighter delivery windows were challenges crying out for a full AI-driven EDA software stack from architectural exploration to design and manufacturing,” said Shankar Krishnamoorthy, general manager of Synopsys EDA group. 

“With Synopsys.ai solutions, our customers’ ability to search design solution spaces across multiple domains is in hyperdrive,” he added.

The AI-driven EDA design suite is being used by Renesas, which achieved a 10 fold improvement in reducing functional coverage holes and up to 30 per cent increase in IP verification productivity.

Renesas, a leader in the automotive space, is already using Synopsys.ai to shave weeks off product development times with enhanced silicon performance and cost reduction. Nvidia, TSMC, IBM and MediaTek all support the AI-driven EDA design strategy.

Synopsys describes itself as the Silicon to Software partner for companies developing the electronic products and software applications. It is an S&P 500 company, with a long history of electronic design automation (EDA) and semiconductor IP and says it offers the industry’s broadest portfolio of application security testing tools and services for SoC designers creating advanced semiconductors and software developers writing more secure, high-quality code.

http://www.synopsys.com

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