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SY353 · Two Position Controller

Hysteresis-based on/off control module for binary control experiments

Features
  • Hysteresis-based two-position (on/off) control operation
  • 0–10V digital output for binary process control
  • Ideal for temperature, level, and pressure on/off control
  • Adjustable hysteresis band for control tuning
  • Direct output to heaters, pumps, and solenoid valves
  • LED status indicator for output state
SY353
Description
    The SY353 is a simple yet powerful two-position (on/off) controller designed for binary control experiments. It operates on a hysteresis principle, switching between full-on and full-off states with an adjustable deadband. This makes it ideal for studying on/off control strategies commonly used in industrial applications such as temperature regulation, level maintenance, and pressure control. The 0–10V output can directly drive heaters, pumps, and solenoid valves. An LED indicator shows the current controller output state, providing instant visual feedback during experiments.
Schematic diagram of the SY353 apparatus
4mm safety sockets
+15V DC line
extra line for added flexibility
7-segment display Overload indicator +Input of the two position controller -Input of the two position controller Output of the error signal e Incremental rotary encoder Output of the two position controller
0V line (ground)
-15V DC line
monitoring LED

Schematic diagram of the SY353 apparatus

Technical Specifications
    Control type Hysteresis-based two-position (on/off)
    Output voltage 0–10V binary switching
    Hysteresis band Adjustable via potentiometer
    Input range 0–10V measurement signal
    Output current up to 500 mA (suitable for direct load drive)
    LED indicator Shows on/off state
    Supply voltage ±15V DC
    Response time <50 ms
    Applications Temperature, level, pressure, flow on/off control

SPARE
PARTS

15 YEARS

Sangari

WARRANTY

5 YEARS

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Part of package

Process Control Training System

A complete modular platform for hands-on learning of feedback control, PID tuning, and process dynamics using real thermal, fluid, and mechanical systems.