INCREMENTAL FUZZY EXPERT PID CONTROL

被引：142

作者：

TZAFESTAS, S

PAPANIKOLOPOULOS, NP

机构：

[1] Robotics and Control Laboratory, Computer Engineering Division, National Technical University of Athens, Athens

[2] Robotics and Control Laboratory, Computer Engineering Division, National Technical University of Athens, Athens

来源：

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS | 1990年 / 37卷 / 05期

关键词：

controller tuning; fuzzy control; fuzzy control matrix; fuzzy logic; intelligent control; Kaiman PID tuning; PID control; Ziegler-Nichols technique;

D O I：

10.1109/41.103431

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents an approach to intelligent PID control of industrial systems, which is based on the application of fuzzy logic. This approach assumes that one has available nominal controller parameter settings through some classical tuning technique (Ziegler-Nichols, Kalman, etc.). By using an appropriate fuzzy matrix (which is similar to Macvicar-Wheian matrix), we determine small changes on these values during the system operation, and these lead to improved performance of the transient and steady behavior of the closed-loop system. This is achieved at the expense of some small extra computational effort, which can be very easily undertaken by a microprocessor. Several experimental results illustrate the improvements achieved. © 1990 IEEE

引用

页码：365 / 371

页数：7

共 20 条

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