GATE NanoASR AEG Mosfet Control Unit


Excellent addition to any AEG, adds functionality and performance improvements suitable for those looking for the best performance from their AEG
The NanaAAB is GATE's affordable bare-bones AEG Control Unit, with less bells and whistles than the MERF , and no Active brake found in the NanoAAB, is easily swappable between guns thanks to its built in deans style connectors, and resilient to withstand the most demanding setups. Designed for any Li-Po's up to 14.8v !


NanoASR Installation Guide

Do you want to achieve a higher rate of fire and faster trigger response? Are you planning a power upgrade of your rifle? In that case, you need a MOSFET.
It targets the energy from the battery directly to the motor, bypassing the mechanical trigger contacts. As a result, you will gain higher rate of fire of the rifle and a faster trigger response, and the contacts will be protected against burn out.

Electronic Fuse
A new MOSFET will never let you down on the battlefield. It is totally protected against overheating and short-circuits of the electrical system. In case of the rifle becoming jammed, it will protect the motor and the battery against any damage.

Digital Interface
It provides full compatibility with micro-switches. It is fully resistant to contact bounce. You gain a bigger ROF, faster trigger response and your MOSFET becomes less heated.

3rd Gen. MOSFET
Usage of most modern transistors and micro-controller enabled us to create the smallest and most reliable MOSFET in the market.

Included in the kit:
Additional kit of Deans-T Connectors
Single signal wire for trigger contacts
Double signal wire for trigger contacts

12 Month Manufacturer's warranty against defect and craftsmanship

Professional installation is highly recommended
Warranty does not cover abuse or improper installation

Add to Cart:

  • Shipping Weight: 0.099kgs
  • 3 Units in Stock
  • Manufactured by: GATE Electronics

Your IP Address is:
Copyright © 2019 Airsoft Parts Canada. Powered by Zen Cart
Parse Time: 0.133 - Number of Queries: 172 - Query Time: 0.0443579898071