By Yu, Cheng-Ching
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Additional info for Autotuning of PID Controllers [electronic resource]: A Relay Feedback Approach
3. g. –5% change from the original value). 4. 1). 5. 2. This procedure is relatively simple and efficient. Physically, it implies moving the manipulated input against the process. 1). When you increase the input (as in step 1), the output y tends to increase also. As a change in the output is observed, you switch the input to the opposite direction. This is meant to bring the output back down to the SP. However, as soon as the output comes down to the SP, you switch the input to the upper position.
4 shows that this category, category 3, covers the largest parameter space of the systems studied. e. K p , D , and ). e. 4. Nonetheless, most of the curve shapes are well represented using these three classes. 2 Identification The detailed procedures for the system identification of various processes under different categories are presented below. 1 Identification of Category 1: First-order Plus Dead Time This category includes two types of system. 4, and this is denoted as category 1a. 4 and it is called category 1b.
Li W, Eskinat E, Luyben WL. An improved autotune identification method. Ind. Eng. Chem. Res. 1991;30:1530. 12. Wang QG, Hang CC, Zou B. Low-order modeling from relay feedback. Ind. Eng. Chem. Res. 1997;36:375. 13. Majhi S, Atherton DP. Auto-tuning and controller design for processes with small time delays. IEE Proc. Control Theory Appl. 1999;146(3):415. 14. Kaya I, Atherton DP. Parameter estimation from relay auto-tuning with asymmetric limit cycle data. Process Control 2001;11:429. 15. Panda RC, Yu CC.
Autotuning of PID Controllers [electronic resource]: A Relay Feedback Approach by Yu, Cheng-Ching