Deadbeat Control of Shunt-Connected Voltage Source Active Power Filters

This MATLAB simulation implements deadbeat control for shunt-connected voltage source active power filters. The implementation utilizes a linear prediction algorithm to forecast harmonic current reference values for the next sampling instant, enabling precise harmonic current tracking. The simulation process involves several key steps: First, we construct the power filter model based on specified voltage source parameters and filter component values. The MATLAB code implements the deadbeat control algorithm by calculating optimal voltage vectors that force current errors to zero within one switching cycle. The linear prediction module uses historical current data and system dynamics to anticipate harmonic components, with prediction accuracy verified through real-time comparison between predicted and actual current values. Performance evaluation includes generating waveform plots (source current, compensating current, harmonic spectrum) and calculating error metrics like THD (Total Harmonic Distortion) and current tracking error. The implementation demonstrates key functions including Clarke/Park transformations for coordinate conversion, PWM generation for voltage source control, and recursive least-squares algorithms for harmonic prediction. This comprehensive simulation approach validates both the theoretical principles of deadbeat control and its practical effectiveness in active power filtering applications, providing clear visualization of dynamic response characteristics and compensation performance under various load conditions.