Abstract
A dc-dc power converter is difficult to control due to its non-linearities and parameter uncertainties. To tackle the problem, a neuro-fuzzy controller is proposed. The controller utilizes the error voltage and the change of error voltage as inputs, and outputs the duty cycle of the PWM switch for controlling the converter. Instead of relying on expert knowledge, some heuristic rules are derived with the membership functions of the fuzzy variables tuned by a neural network. After an off-line training, the neuro-fuzzy controller can be applied to regulate a Cuk converter. Simulation results are to be given to demonstrate the performance of the controller.
Original language | English |
---|---|
Title of host publication | IECON Proceedings (Industrial Electronics Conference) |
Publisher | IEEE |
Pages | 446-450 |
Number of pages | 5 |
Publication status | Published - 1 Dec 1995 |
Event | Proceedings of the 1995 IEEE 21st International Conference on Industrial Electronics, Control, and Instrumentation. Part 1 (of 2) - Orlando, FL, United States Duration: 6 Nov 1995 → 10 Nov 1995 |
Conference
Conference | Proceedings of the 1995 IEEE 21st International Conference on Industrial Electronics, Control, and Instrumentation. Part 1 (of 2) |
---|---|
Country/Territory | United States |
City | Orlando, FL |
Period | 6/11/95 → 10/11/95 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering