Advanced control techniques, examining fuzzy logic and alternative PID control actions on injection molding processes

Abstract

In many cases future processing of rubber and plastics may require closer temperature tolerances be kept. Unintended process upset in temperature could affect certain part characteristics such as color, durability and dimensions. The following is an examination of various types of PID computations and fuzzy logic in the area of temperature control. As the microprocessor becomes faster, better techniques for controlling processes more precisely are being made. Former methods of temperature control, in either analog or digital technology, had early forms of control algorithms. These building blocks were on/off control, progressing to proportional control and then integral and derivative functions. Each was an improvement but each had its own difficulties in responding to system upsets and stability. Conventional temperature controls in the past, in either analog or digital, had early forms of control algorithms. These controls were on/off, progressing to P (proportional), I (integral), D (derivative), and combinations of these. Each had its own difficulties in responding to system upsets and stability.<>