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MT 1090 is the latest high-performance rapid control prototyping unit launched by ModelingTech Energy Technology. Adopting an upgraded CPU+FPGA architecture and paired with self-developed StarSim Real-Time software, it delivers high-speed and precise signal control, applicable to high-voltage and high-frequency testing scenarios such as new energy inverter testing and multilevel converter verification.
Equipped with ZYNQ UltraScale+ core board and self-developed Real-Time software, it delivers stronger data processing capability.
Supports 16-channel fiber interface PWM digital outputs with a total of up to 160 DO channels, enabling nanosecond-level ultra-fast control.
Newly supports 16 channels of 4 MSPS analog inputs to receive equipment status feedback faster and realize precise signal control.
CAN-FD is added to the supported communication protocols, featuring high bandwidth and low latency to adapt to control applications across automotive industry, energy management and other scenarios.
The LCD window design enables quick access to key device configuration information, as well as detailed data such as Ethernet port IP and MAC addresses.
One-click deployment reduces user time spent on code translation, hardware customization and debugging.
Enables rapid verification and testing of control algorithms and systems for new energy inverters, helping manufacturers cut product development and launch cycles and reduce costs.
Enables rapid verification and testing of control algorithms and systems for new energy inverters, helping manufacturers cut product development and launch cycles and reduce costs.
A distinctive power hardware rapid control experimental system developed by ModelingTech. The virtual-real integrated design effectively improves students’practical operation capabilities.
A distinctive power hardware rapid control experimental system developed by ModelingTech. The virtual-real integrated design effectively improves students’practical operation capabilities.
Runs microgrid EMS algorithms and underlying inverter control algorithms for wind, PV and energy storage systems to quickly verify and test control strategies.
Runs microgrid EMS algorithms and underlying inverter control algorithms for wind, PV and energy storage systems to quickly verify and test control strategies.
As a component of the MT simulation experimental platform, it supports students to complete experiments including basic power electronic control, grid-connected control of new energy inverters, and motor control.
As a component of the MT simulation experimental platform, it supports students to complete experiments including basic power electronic control, grid-connected control of new energy inverters, and motor control.
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