This reference design provides design guidelines, data, and other content for an IH induction cooker inverter circuit based on voltage resonant soft switching.
i.MX RT1060 EVK is a 4-layer through-hole USB powered PCB. At its core is the i.MX RT1060 crossover MCU, implemented using NXP's advanced Arm® Cortex®-M7 core. This core runs at speeds up to 600 MHz to provide high CPU performance and excellent real-time response. Support for FreeRTOS™ is provided in the MCUXpresso SDK. Zephyr™ OS supports the i.MX RT1060 evaluation kit for developing IoT with a free, open source embedded operating system.
i.MX RT1064 EVK is a 4-layer through-hole USB powered PCB. The core of the board is the i.MX RT1064 crossover MCU, which uses NXP’s advanced Arm® Cortex®-M7 core implementation. The core runs at speeds up to 600 MHz, providing high CPU performance and excellent real-time response.
The REF_5QR1070AZ_33W1 auxiliary SMPS reference design for refrigerators operates over a wide range of inputs and was developed with offline SMPS applications in mind. Using dual isolated outputs, the +12V rail powers the relay, while the +5V rail powers the MCU and various sensors. It adopts the new ICE5QR1070AZPWM quasi-resonant flyback, equipped with 700V integrated CoolSET™, and adopts DIP-7 package.
Turnkey reference design kit for low voltage, high performance, high efficiency and high speed PMSM/BLDC motor drive applications is a reference design kit using the IMC101T iMOTION controller, 2ED2304 SOI half-bridge gate driver and BSC030N04NS OptiMOS. This reference design kit showcases our thin-film SOI and advanced motion control engine (MCE 2.0) technology enabling drive speeds up to 120KRPM for low-voltage permanent magnet motors, while the inverter section is rated up to 30 V and 25 A. It has been optimized for low voltage appliances such as vacuum cleaners, fans, pumps, compressors and other low voltage motor drive applications.
Using the Edge Impulse platform, an embedded machine learning (ML) model is deployed on the ESP32-DevKitC-based sensor for temperature anomaly detection.
A project that uses a web page to remotely control the Raspberry Pi to send out infrared signals to control home appliances such as air conditioners. To put it simply, you can use your mobile phone to control it through the web page on the way home, turn on the air conditioner in advance, and set it to the required temperature. At the same time, the indoor temperature and humidity can be monitored in real time on the web page. The entire project is written based on Python's flask framework.