Futaba RF_PK-FSM2.4G Compact 2.4GHz RF Module  [RF_PK-FSM2.4G]

Futaba PK-FSM2.4GHz RF Module
Price:
NZD$160.06
Brand:
Futaba
Model:
RF_PK-FSM2.4G
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Futaba RF_PK-FSM2.4G Module for Consistent RC Control

The Futaba RF_PK-FSM2.4G brings 2.4GHz spread spectrum performance to your transmitter in a compact package. It is designed to reduce dropouts and keep control inputs clean during typical hobby use.

Key Operation and Range Notes

This is a one-way operation system that fits into setups requiring single-direction RF modules. The auto-detect mode recognises PPM and HRS automatically so you do not need to switch modes manually. Expect up to 80m range in ideal conditions for routine flying and cruising tasks.

Protection and Pairing Capabilities

Safety features on the Futaba RF_PK-FSM2.4G include Fail-Safe, Battery Fail-Safe, and an ID system with around four billion pairing combinations. These measures help prevent accidental link swaps and provide basic protection if a signal drops.

Specifications

  • Communication Method: One-way operation system
  • Mode: PPM, HRS (Auto-detect)
  • Maximum Operating Range: 80m (optimum condition)
  • Safety Features: F/S, B-F/S, ID system
  • Transmission Arena: 1/2 mono pole

A sensible choice when you want straightforward 2.4GHz operation with built-in safety and simple compatibility.

Will this fit my transmitter bay?

Most standard module bays that accept Futaba-style modules will accept this one-way unit, but confirm dimensions and connector type before buying.

Is the range guaranteed at 80m?

The 80m figure is an optimum condition estimate. Real-world range depends on antenna, terrain, and local RF noise levels.

Does the module need special setup?

It is designed for plug-and-play style use with auto-detect, though you should verify connection wiring and correct receiver configuration before first flight or run.

How robust is the fail-safe function?

Fail-Safe and Battery Fail-Safe act to drive outputs to preset positions on signal loss, giving you a known behaviour to reduce risk of uncontrolled models.

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