研究目的
Developing an adaptive controller for regulating and dimming problems of LED current control in unknown nonlinear discrete-time systems using a Fuzzy-rules emulated network (FREN) and implementing it with a Raspberry Pi model B.
研究成果
The proposed LED current controller, designed using an adaptive network FREN, successfully regulates and dims LED current in unknown nonlinear discrete-time systems. The experimental setup validates the controller's performance for both regulating and dimming problems.
研究不足
The uncertainty of LED forward voltage is an important role for designing LED current controls. The convergence analysis has been neglected in previous fuzzy system-based LED current controllers.
1：Experimental Design and Method Selection:
The controller is designed using FREN with IF-THEN rules for the controlled plant. An online learning algorithm tunes the adjustable parameters of FREN.
2：Sample Selection and Data Sources:
The LED driving system is considered as an unknown nonlinear discrete-time system.
3：List of Experimental Equipment and Materials:
Raspberry Pi model B, LED driver-circuit and module, current sense and average circuit, 8-BIT ADC0804LCN, GPIO digital input, GPIO PWM out.
4：Experimental Procedures and Operational Workflow:
The control signal is generated by a circuit of digital (PWM) to analog voltage. The LED current is measured and converted to an 8-Bit digital signal. The control algorithm is implemented by Python code.
5：Data Analysis Methods:
The performance of the controller is validated by experimental results for both regulating and dimming problems.
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