• Advanced PID Controller Training Bandung

TransWISH Indonesia Successfully Conduct Advanced PID Controller in Bandung

TransWISH Indonesia successfully conducts Advanced Proportional Integral Derivative Controller (Advanced PID Controller) in Bandung. This training was conducted from March 29-31st in Tune Hotel Bandung. At first,, it may sounds like a big obstacle since it is a bit out of our cores, but with a great team work, we make them as agreat challenge and  successfully conduct it.

This training is assisted directly by Ms. Vina Rieza, TransWISh Indonesia Business & Development Supervisor.

What is a PID Controller

PID Controller is a control loop feedback mechanism (controller) commonly used in industrial control systems. A PID controller continuously calculates an error value e ( t ) {\displaystyle e(t)} as the difference between a desired setpoint and a measured process variable and applies a correction based on proportional, integral, and derivative terms (sometimes denoted P, I, and D respectively) which give their name to the controller type.

According to AZo, PID control is based on feedback. The output of a device or process, such as a heater, is measured and compared with the set point or target. If a difference is detected, a correction is calculated and applied. The output is once again measured and any required correction is recalculated.

All controllers do not use all three of these mathematical operations. Several processes can be performed to an acceptable level with only the proportional-integral terms. However, fine control, and particularly overshoot avoidance, requires the addition of derivative control.

In proportional control, the correction factor is determined by the size of the difference between measured value and set point. The issue with this regard is that as the difference approaches zero, so does the correction, which results in the error never touching zero.

The integral operation addresses this by taking into account the cumulative value of the error. The longer the set point-to-actual value difference persists, the greater the size of correction factor calculated.

However, when there is a delay in response to the correction, this results in an overshoot and perhaps oscillation about the set point. Avoiding this is the purpose behind the derivative function. This focuses on the rate of change being accomplished, progressively altering the correction factor to reduce its effect as the set point is approached.

Common Applications of PID Controller

Furnaces and ovens used in industrial heat treatment are needed to realize stable results regardless of how the humidity and mass of material being heated may differ. This makes such equipment suitable for PID control. Pumps used for moving fluids are a similar application, where difference in media properties could alter system outputs unless an effective feedback loop is employed.

Motion control systems also employ a type of PID control. However, as the response is orders of magnitude quicker than the systems illustrated above these require a different form of controller to that mentioned here.

As correction factors are measured by comparing the output value to the set point, and using gains that reduce oscillation and overshoot while impacting the change as rapidly as possible, PID controllers are used to manage several processes.

A PID tuning technique involves determining proper gain values for the process being controlled. While this can be achieved manually or by using control heuristics, most of the latest controllers offer auto tune capabilities. However, it remains crucial for control professionals to be aware of what happens once the button in pressed.

In the present, most modern PID controllers in industry are implemented in Distributed Control Systems (DCS), programmable logic controllers (PLCs) or as a panel-mounted digital controller. Software implementations have the advantages that they are relatively cheap and are flexible with respect to the implementation of the PID algorithm. PID temperature controllers are applied in industrial ovens, plastics injection machinery, hot-stamping machines and packing industry. PID controllers are at the core of multi rotor drones as well, in the form of self-stabilising flight controllers

The PID control scheme is named after its three correcting terms, whose sum constitutes the manipulated variable (MV). The proportional, integral, and derivative terms are summed to calculate the output of the PID controller

Understanding its terms like Steady-state error in Proportional term, Integral term and Derivative term will aid in better application in PID Controller. Thus make a better in day to day application

Here in TransWISH Indonesia, we aid to upgrade and update your employee to be better at the whole process.