They can be broadly classified into two major categories: Analog Controllers and Digital Controllers.
1. Analog Temperature Controller
This is a type of temperature controller used for regulation where the internal circuitry does not utilize a microcontroller. Instead, it relies strictly on analog electronic circuits, or in some cases, features no electronic circuitry at all, using just two different metals that act as a switch. This type of controller is less commonly used today, both in industrial fields and applications requiring high measurement and control accuracy, as it has been largely replaced by digital controllers which offer far superior precision.

Analog Temperature Controller
2. Digital Temperature Controller
This is the most widely used type of temperature controller today. It functions to regulate temperature with high accuracy and can manage heating, cooling, or both heating and cooling simultaneously. It offers versatile functionality and can be integrated with modern control networks, such as Industry 4.0 systems, for data logging or remote control via communication ports like RS-485 or MODBUS. The fundamental components of a digital controller include a PV (Process Variable) temperature display screen, an SV (Set Point Variable) setting section, signal input channels, and signal output channels.

Digital Temperature Controller

Diagram showing Temperature Controller variables

Diagram showing the working principle of a Temperature Controller
The operation of a temperature controller begins by configuring the SV setting, which identifies the desired control temperature for the production process (for example, setting it to 500°C). After that, the controller continuously compares or calculates the difference between the PV and SV values. The PV value is acquired by reading the input sensor. If the PV value is lower than the SV value, the controller will command the Control Signal Output to send a signal through an SSR (Solid State Relay), which acts like a switch, to power the heater and increase the temperature. When the PV temperature exceeds the SV, it reduces the Control Signal Output to lower the heater's operation. This control loop process represents a fundamental regulation method known as On-Off Control.

Diagram of an Open-Loop Control System
2. Closed-Loop Control System or Feedback Control
This is a control mechanism that continuously monitors and evaluates the actual output result of the process. It measures the variable and feeds it back to be compared against the target set value. The controller then switches or modulates the output to bring the measured value in line with the set value. This principle represents standard automatic control systems, widely used for temperature regulation, water level control, and motor speed control.
Diagram of a Closed-Loop Control System
1. ON/OFF Control
This is a two-position control method: either fully on or fully off. The output switches cleanly between 0% and 100%. The output shuts down only when the temperature reaches the set point.
In ON/OFF control, both the opening and closing of the output occur directly around the setpoint. For instance, if the setpoint is 100°C, the output cuts off at 100°C and turns back on immediately when the temperature drops below 100°C. If a physical contact relay output is used, high-frequency switching can rapidly degrade the contacts or cause them to arc and weld together. Hysteresis is a setting used to determine how much the temperature must drop below the setpoint before the output turns back on (in a heating application). For example, if the setpoint is 100°C and Hysteresis is set to 5°C, the output turns off at 100°C and turns back on at 95°C. This cycle repeats continuously, causing the temperature under ON/OFF control to fluctuate or swing (Hunting) around the setpoint, generating an Overshoot every time control initiates.

Graph of ON/OFF Control
2. PID Control
PID control helps maximize process control efficiency. Within this framework, Proportional (P) action reduces Overshoot and Hunting, Integral (I) action eliminates Offset (the steady-state difference that can persist between the setpoint and the measured value), and Derivative (D) action responds quickly to external system disturbances. To implement PID control, the P, I, and D parameters must be configured.
Fortunately, OMRON temperature controllers feature an Auto-Tuning function that automatically calculates and applies the ideal PID values based on the surrounding environment. PID control significantly minimizes overshoot; while an ON/OFF controller cuts off exactly when PV reaches SV, a PID controller modulates or turns off power before reaching the SV. This throttle window is dynamically calculated according to the external environment learned during Auto-Tuning.

Graph of PID Control