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Title Intelligent Feedback Controller Design For DC-DC Converter

Author(s) Owais Khalid

Abstract In this research, a feedback control system for DC-DC converter is designed using artificial intelligence. PID control is widely used as the control method for DC-DC converters. The PID parameter tuning process parameters remains hard in nonlinear case scenarios. As in such scenarios system needs to handle disturbances during load changes and operate under dynamically changing conditions. The system control response with the inclusion of AI technology leads to an improvement in the operation of DC-DC converters through their feedback system and improved the overall ripple on output line. Also, it helps the system to become more stable across different loads at the same time and achieve maximum performance. Furthermore, the proposed AI-based controller has been successfully applied to a real-time Voltage-to-Grid (70V-380V) case scenario, replacing the PID controller in a Neutral Point Clamped (NPC) converter topology. This shows the versatility and effectiveness of this control technique in complex power conversions. Replacement of AI based control with PID helps system in continuous learning and adaptation and as a result real-time control, reduction in output voltage ripple, and enhanced system adaptability under dynamic load conditions and making it suitable for current applications of DC-DC converters.

Type Thesis/Dissertation MS

Faculty Engineering and Computer Science

Department Engineering

Language English

Publication Date 2025-06-23

Subject Electrical Engneering

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