Comparison between Conventional and Fuzzy Logic PID Controllers for Controlling DC Motors

Fuzzy logic and proportional-integral-derivative (PID) controllers are compared for use in direct current (DC) motors positioning system. A simulation study of the PID position controller for the armature-controlled with fixed field and fieldcontrolled with fixed armature current DC motors is performed. Fuzzy rules and the inferencing mechanism of the fuzzy logic controller (FLC) are evaluated by using conventional rule-lookup tables that encode the control knowledge in a rules form. The performance assessment of the studied position controllers is based on transient response and error integral criteria. The results obtained from the FLC are not only superior in the rise time, speed fluctuations, and percent overshoot but also much better in the controller output signal structure, which is much remarkable in terms of the hardware implementation.

[1]  K. Tang,et al.  Comparing fuzzy logic with classical controller designs , 1987, IEEE Transactions on Systems, Man, and Cybernetics.

[2]  Benjamin C. Kuo,et al.  AUTOMATIC CONTROL SYSTEMS , 1962, Universum:Technical sciences.

[3]  P. N. Paraskevopoulos,et al.  Modern Control Engineering , 2001 .

[4]  Henk B. Verbruggen,et al.  Fuzzy Control in the Process Industry: Common Practice and Challenging Perspectives , 1999 .

[5]  C C Lee,et al.  FUZZY LOGIC IN CONTROL SYSTEM FUZZY LOGIC CONTROLLER-PART II , 1990 .

[6]  Geoff Barton,et al.  Process control: Designing processes and control systems for dynamic performance , 1996 .

[7]  Chang-Ming Liaw,et al.  Design and implementation of a fuzzy controller for a high performance induction motor drive , 1991, IEEE Trans. Syst. Man Cybern..

[8]  H Kutterer,et al.  Tutorial on Fuzzy Logic , 2001 .

[9]  Jan Jantzen,et al.  Design Of Fuzzy Controllers , 1998 .

[10]  Han-Xiong Li,et al.  Conventional fuzzy control and its enhancement , 1996, IEEE Trans. Syst. Man Cybern. Part B.

[11]  Han-Xiong Li,et al.  A new methodology for designing a fuzzy logic controller , 1995, IEEE Trans. Syst. Man Cybern..

[12]  Naresh K. Sinha,et al.  Modern Control Systems , 1981, IEEE Transactions on Systems, Man, and Cybernetics.

[13]  Frank Klawonn,et al.  Design of Fuzzy Controllers , 2006 .

[14]  Rolf Isermann,et al.  On fuzzy logic applications for automatic control, supervision, and fault diagnosis , 1998, IEEE Trans. Syst. Man Cybern. Part A.

[15]  Masayoshi Tomizuka,et al.  Fuzzy gain scheduling of PID controllers , 1993, IEEE Trans. Syst. Man Cybern..

[16]  Thomas E. Marlin,et al.  Process Control: Designing Processes and Control Systems for Dynamic Performance , 1995 .

[17]  Derek A. Linkens,et al.  Fuzzy-neural control: principles, algorithms and applications , 1995 .

[18]  Constantin Volosencu,et al.  Tuning Fuzzy PID Controllers , 2012 .

[19]  Chuen-Chien Lee FUZZY LOGIC CONTROL SYSTEMS: FUZZY LOGIC CONTROLLER - PART I , 1990 .

[20]  Hao Ying,et al.  Essentials of fuzzy modeling and control , 1995 .