ufartof.blogg.se - Labview process control PID

Historical momentum perpetuates the traditional presentation.

However, there are obvious caveats to explaining the algorithm with the velocity form: (See sidebar: "First real understanding of PID.") Explaining it with the PVA approach can help engineers with a rudimentary or even no knowledge of PID to better grasp the concepts. It makes the contribution of each term much easier to understand. Note: the PVA equation looks like the very familiar second order differential equations. To make it more familiar, the order has been rearranged: Position, velocity, and acceleration (PVA) are very familiar terms. When doing so, the proportional (P) term becomes a velocity (V) term the integral (I) term becomes a positional (P) term and the derivative (D) term becomes an acceleration (A) term. Therefore, the latter presentation is the velocity form. Taking the derivative of a position over time creates velocity. The original form of the equation is the positional form.

The only change made was to take the derivative of the prior equation. To match the more familiar presentation, it would be shown as: Even though it is the same second-order differential equation, its presentation and explanation differ.

Textbooks describing the PID algorithm present it as a differential equation, but not in the same way as the spring-mass or LRC circuit. A lot of real world applications are second order differential equations, so the ability to comprehend the common mathematical foundations makes it easy to understand and remember. They are second-order differential equations. That’s because they are the same mathematically.

Engineering graduates are very familiar with the spring-mass system and LRC circuits. Once engineering students grasp differential equations, they see them used to explain the classic spring-mass system in physics and LRC circuits in electrical studies. However, this article suggests a different approach using velocity instead of position.Ī core foundation of an engineering curriculum is differential equations. Why is it presented this way? Well, it does match the name of the algorithm and shows the proportional, integral, and derivative terms in a simple manner. OP = Output to the final control element, typically in percent of scale