| Author: | Lo, Ka-lun |
| Title: | Comparison of performances of three fuzzy logic control algorithms with PID controller |
| Degree: | M.Sc. |
| Year: | 1996 |
| Subject: | Fuzzy logic PID controllers Hong Kong Polytechnic University -- Dissertations |
| Department: | Multi-disciplinary Studies |
| Pages: | 1 v. (various pagings) : ill. ; 30 cm |
| Language: | English |
| Abstract: | Three different fuzzy logic controllers are developed in this project: fuzzy logic controller, fuzzy gain scheduling PID controller and fuzzy internal model controller. Fuzzy logic controller is based on linguistic IF-THEN rules. The control action appropriate to the process conditions/working ranges formulated in the IF part is named linguistically in the THEN part. The complete rule base represents the total control strategy of the fuzzy controller. A rule-based scheme for gain scheduling of PID controller is designed to improve performance of the conventional PID controller with fixed parameters. Fuzzy rules and reasoning are utilized to determine the controller parameters based on the error signal and its first difference. In conventional control, the design of internal model controller is based on an assumed process model and relates the controller settings to the parameters in a straightforward manner. In this project, fuzzy logic has been utilized to internal model controller. The control system bases on a fuzzy internal model to the process and a fuzzy comparison of the outputs of the process. The difference between them are being used for correction of the control variable with the aim of linguistic approximation. First order predictor is used as fuzzy internal model to implemented the controller. A complete simulation of three fuzzy logic controllers together with conventional PID controller is carried out in the project. |
| Rights: | All rights reserved |
| Access: | restricted access |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| b12306848.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 1.97 MB | Adobe PDF | View/Open |
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