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What is a PID controller? In previous articles in their series covering the thermal loop, they mentioned that there are 3 main types of temperature control: On Off, Proportional, and PID control.

Now they intend to go a little deeper into PID Temperature control and how it can help users decide the best way to control the temperature system. PID control loop is the most accurate of all types of thermal loop controllers. First, let’s define what PID means: Proportional Integral Derivative.

Every single application

What does PID stand for?

P = Proportional: as discussed above, a PID controller has the same feature allowing it to begin to proportion the controller output before and after the setpoint.

Integral helps to create a much more accurate system, and can be a different value for every single application

I = Integral: a factor that works along with the derivative function to correct any underperformance resulting from the proportional function. In ovens or chiller systems, as the controller tries to keep the system from overshooting the setpoint, the integral function is a factor applied to that specific system to help it get up to temperature. Integral helps to create a much more accurate system, and can be a different value for every single application.

D = Derivative: kind of works like breaks on a car. The derivative function’s purpose is to help eliminate or minimize to a high degree the overshoot of the process temperature.

Precise control scenarios

How does a PID controller work? PID controllers are designed to work in more highly precise control scenarios. Temperature controllers with this method of controlling the desired output are looking at many other variables vs. on off or proportional control.

PID Temp controllers not only monitor where the temperature is vs the process variable or set point, but they also control the ramp rate, output percentage as well as monitor for overshoot. All of this is done within a small on board microprocessor.

PID Temp controllers

Most PID Temp controllers have a process called ‘Autotune’ that allows a PID controller to ‘learn’ it’s specific system. One using the autotune process would typically energize their system with the controller PID settings set to factory default.

Once initiated, the controller would drop the temperature from about 50F to say 300F

Let’s say for example users have a process that needs to maintain 350 F. When the autotune feature is initiated, and once the system has reached the 350F set point, the controller would then initiate the autotune process. Once initiated, the controller would drop the temperature from about 50F to say 300F.

More appropriate levels

Then the system would apply heat to get back up to the original set point. It may do this 2-3 times before it learns what P, I, and D settings to apply. Now the controller can see how fast the system can gain and lose heat.

This helps it to revise the factory default settings to more appropriate levels that are specific to this application. The controller has learned for this application how to correctly control and maintain temperatures, which translates into a more accurate demand of percentage output to the relay and thermal system.

This is very helpful in creating a PID controller that is accurate and useful. It also creates a system that is much more efficient.

Proportional control methods

Utilizing a relay or power controller that can react to these demand changes is critical

This PID controller can make very rapid requests in demand for output than older on off or proportional control methods. Utilizing a relay or power controller that can react to these demand changes is critical. Old relays or motor starters can’t ‘act’ fast enough.

PID controllers produce a demand output in the form of 0-100%. This output can change multiple times in one second depending on how often the controller samples the sensor input. Only solid state relays (SSR’s) or silicon controlled rectifiers (SCR’s) have the ability to react fast enough to proportion power to the thermal source.

Slightest temperature change

PID control as stated above is fantastic for ovens requiring precise cooking or curing temperatures over time. Small platen presses will often require consistent curing temperatures as well. Additionally, PID controllers are almost exclusively used for small gas streams that are sensitive to even the slightest temperature change.

Are users using PID controllers in their process heating plan? This could be a great potential upgrade if they feel that they need a more precise and efficient temperature control system. Their engineers at Powerblanket are ready to help them find the exact heating solutions the business needs.

Powerblanket's industrial control solutions gives the user the power to automate, remotely control, and monitor valuable materials and equipment.

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