Microchip claims eSPI to LPC bridge is industry’s first commercial offering

Industrial computing developers can integrate the eSPI standard in existing equipment, using the ECE1200 bridge from Microchip. According to the company, it minimises development costs and extends product lifecycles.

The eSPI bus technology supports new computing with next-generation chipsets and CPUs.

It is believed to be the industry’s first commercially available eSPI-to-low pin count (LPC) bridge. The ECE1200 bridge allows developers to implement the eSPI standard in boards with legacy LPC connectors and peripherals, says Microchip. This allows the developers to implement the eSPI standard while preserving significant investments in legacy LPC equipment and substantially minimising development costs and risk.

The eSPI-to-LPC bridge allows developers to maintain long lifecycles while supporting the eSPI bus technology that is required for new computing applications using the next generation of chipsets and CPUs. To reduce risk for developers, the eSPI bus technology has been through intensive validation for industrial computing applications and has been validated with leading processor companies.

The ECE1200 detects and supports modern standby mode with low standby current. This helps industrial computing developers to manage operating costs and efficiencies. The does not require any software.

To streamline development, the ECE1200 comes with a BIOS porting guide, schematics and a layout guide.

The ECE1200-I/LD is available today in a 40-pin VQFN package.

http://www.microchip.com

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RX microcontrollers have precision for sensing equipment

The first RX microcontrollers with integral analogue front end have been announced by Renesas Electronics. The RX23E-A microcontrollers are intended for high-precision sensing and measurement equipment.

The 32-bit RX microcontrollers are designed for applications that require high-precision measurements of analogue signals for temperature, pressure, weight, and flow. According to Renesas, they enable such signals to be measured with better than 0.1 per cent precision without calibration.

They achieve analogue front end precision with offset drift of 10 nV/ degrees C, gain drift of one ppm/ degrees C, and RMS noise of 30nV rms. According to Renesas these deliver a level that could previously only be achieved by combining dedicated ADC circuits with high-precision operational amplifier ICs. By integrating high-precision analogue front end intellectual property (IP) on a single chip using the same fabrication process technology, Renesas has made it possible to implement sensor measurement, computation, control, and communication on a single chip to reduce the number of required components, save space, and simplify system design in equipment such as temperature controllers, recording, weighing, and force sensing devices. It also accelerates endpoint intelligence by enabling distributed processing with microcontrollers.

To improve productivity, factories and manufacturing sites are required to measure a variety of sensor data accurately and reliably. For stability when measuring small signals at high precision over a wide environmental temperature range, it is important to reduce noise characteristics and temperature drift characteristics, which prompted Renesas to develop the high-precision analogue front end and integrate it into an RX microcontroller.

The RX23E-A microcontrollers are based on the RXv2 core, which has operating speeds of 32MHz, a digital signal processor (DSP), and superlative floating point unit (FPU) calculations. This allows the implementation of adaptive control using temperature data and inverse matrix calculations using six-axis distortion data.

The company cites the example of robot arm force sensors which require the measurement and calculation of the six-axis distortion in a small space. The RX23E-A microcontrollers make it possible to measure the six-axis distortion data and perform the inverse matrix calculations with a single chip.

The analogue front end block has a 24-bit delta-sigma ADC which has up to 23 bits of effective resolution. Two ADCs can start synchronously, allowing sensor temperature correction to be performed without switching channels.

A rail to rail input programmable gain amplifier allows amplification up to x128, there is also analogue differential inputs of up to six channels (pseudo-differential) and up to 11 channels (single-ended inputs), all of which can be used as inputs to the two ADCs.

The microcontroller block has a 32-bit RXv2 core operating at 32MHz, 128 to 256kbyte of ROM and 16 to 32kbyte of RAM, as well as one SPI, one I2C and one CAN channel and four channels of UART for communication interfaces.

To address functional safety, the software load is reduced by self-diagnostic and disconnection-detection assistance functions for the ADC, clock frequency accuracy measurement circuit, independent watchdog timer and RAM test assistance functions.

Operating temperature is -40 to +85 degrees C and -40 to +105 degrees C.

The RX23E-A microcontrollers are supplied in a 48-pin QFP and 40-pin QFP.

Samples of the RX23E-A microcontrollers are available now with mass production planned for December 2019.

http://www.renesas.com

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Arm introduces CPU and GPU for 5G mobiles

At Computex in Taiwan this week, Arm has unveiled the latest Cortex CPU, a new Mali GPU. Based on a new architecture and a processor for machine learning.

The latest Cortex CPU, the Cortex-A77 improves instruction per cycle (IPC) performance by 20 per cent, compared with the Cortex-A76 for machine learning, augmented reality and virtual reality (ML, AR and VR).

The Arm Mali-G77 GPU is based on Valhall architecture and is intended for use in mobile devices to deliver graphics at increased efficiency, according to Arm. Microarchitecture enhancements including engine, texture pipes, and load store caches, which achieve 30 per cent better energy efficiency and 30 per cent more performance density. The Valhall architecture is claimed to deliver close to 40 per cent performance improvement compared with the Mali-G76 in devices today.

Arm also says that it boosts inference and neural net (NN) performance for ML and to deliver more immersive games for mobile apps.

A dedicated ML processor delivers up to five tera operations per second (TOPS) per W as part of Project Trillium. The ML processor and open-source Arm NN software framework was announced in 2018 and enhancements to the ML processor include more than double energy efficiency to 5TOPS/W, memory compression improved by up to a factor or three and scaling to peak next-generation performance up to eight cores for up to 32TOPS.

http://www.arm.com

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RX72T motor control MCUs serve industrial robots

32-bit motor control microcontrollers (MCUs) from Renesas Electronics have dedicated hardware accelerator IP to perform the complex, high-speed computations required for motor control in robots and other industrial equipment.

The RX72T series achieves an 1160 CoreMark score as measured by EEMBC benchmarks, claimed to be the highest level for a 5.0V MCU operating at 200MHz.

The RX72T extends the migration path across the RX family for low-cost designs in compact industrial robots, explains Renesas.

Typical applications are servo systems. The rising demand for compact industrial robots is a target application, where high-precision control of the position, direction, speed, and torque of the motor is required to implement complex motions.

The RX72T MCUs include dedicated accelerator hardware that enables the high-speed position control and speed control calculations required for implementing servo motor control in compact industrial robots. The current control loop calculation can be performed in less than 1.5 micro seconds. This presents a choice for users to independently develop servo systems where previously they only had the option of purchasing existing servo systems.

Implementing calculations in software can require excessive computing time. However, completely hardware-based calculations can adversely affect the flexibility to implement user control operations. The RX72T MCUs, Renesas implement only the single-precision floating point trigonometric function (sin, cos, arctan, hypot) and a register bank saves the function in hardware as dedicated IP. This retains flexibility while increasing the calculation speed, says Renesas. The save function increases the speed and precision of interrupt handling, improving the device computation performance, Renesas adds. The MCUs also include 200 MHz PWM inverter control timers with up to four channels of three-phase control, two channels of five-phase control or 10 channels of single-phase control.

Pairing Renesas’  Failure Detection e-AI Solutions for motors with the RX72T MCUs can improve productivity, says Renesas. Characteristic data (current and speed values) that indicate the motor state can be used directly to implement motor control and e-AI-based failure detection with a single MCU. The MCUs also feature hardware-based system failsafe functions and a hardware cryptography module that can be used to encrypt/decrypt communications data.

Renesas also provides the Renesas Motor Workbench 2.0 for real-time debugging and an RX72T CPU card that supports the 24 V motor control evaluation kit.

The MCUs will be available in mass production quantities beginning in Q4 2019.

https://www.renesas.com

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