General knowledge of controlled systems for ifm controllers

Create Date: 2024-8-30 12:03:23|Source: IFM/ifm

Principles of the control system of IFM controllers:

The IFM ifm controller is a process that continues to detect the unit to be manipulated (control variable x) and compares it with the reference variable w, and according to the results of the comparison, the control variable is affected to get used to the reference variant. In most cases, these characteristic values can only be determined experimentally and are difficult to influence.

                               General knowledge of controlled systems for ifm controllers

Types of control systems for ifm controllers:

The control systems of IFM manipulators can be divided into three types: controlled systems without self-balancing, controlled systems with delays, and self-balancing processes

Self-balancing controlled system: IFM ifm controllers have an infinitely oriented controlled system called a self-balancing controlled system. The ifm manipulator never reaches its final value because the integrated functions cause the operating variable to increase or change after the operating variable has been affected by disturbances. These controlled systems are called I-systems (1 = complete).

Controlled systems with delays: IFM controllers do not react to changes in control variables until the dead time Tt has passed, and most controlled systems are comparable

One or more T1 systems of the P system are the systems with inertia and the series systems are the systems with compensation. For example, a first-level controlled system consists of a concatenation connection of throttling points and subsequent memory. At the same time, the sum of Ti or Ti+Tu at the dead time is related to the controllability of the system, and the higher the controllability of the system, the greater the Tg/Tu ratio. The manipulators integrated in the library are a summary of the previous basic functions, depending on the combination and function used by the individual control system.

Self-balancing process: The self-balancing process refers to the fact that the manipulation variable x becomes a new final value after an operating variable (steady state), and these manipulated systems are determined by the expansion of the steady-state transport factor KS, that is, the smaller the expansion share, the better the system manipulation effect. These controlled systems are called P-systems (P = shares).
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