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Application of the Extended Kalman Filter and IDA-PBC to a Quadratic Boost Converter: A MATLAB/Simulink Implementation | ||
| Contributions of Science and Technology for Engineering | ||
| مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 23 آبان 1405 | ||
| نوع مقاله: Original Article | ||
| شناسه دیجیتال (DOI): 10.22080/cste.2026.30878.1105 | ||
| نویسندگان | ||
| Abdollah Ahmadi؛ Sara Minagar* ؛ Behrooz Rezaie | ||
| Department of control, Faculty of electrical and computer engineering. Babol Noshirvani University of Technology, Babol, Iran | ||
| تاریخ دریافت: 11 بهمن 1404، تاریخ بازنگری: 26 خرداد 1405، تاریخ پذیرش: 04 آبان 1405 | ||
| چکیده | ||
| This paper presents a nonlinear state estimation and control strategy for a class of uncertain dynamic systems based on the integration of the Extended Kalman Filter (EKF) and Interconnection and Damping Assignment Passivity-Based Control (IDA-PBC). The EKF is employed to estimate unmeasured states in the presence of model uncertainties and measurement noise, while the IDA-PBC framework is used to design a stabilizing control law by shaping the system’s energy function. The main contribution of this work lies in the systematic combination of EKF based state estimation with Passivity Based Control (QBC) to enhance closed loop performance when full state measurements are not available. In addition, the observability of the system is analyzed to ensure the feasibility of the estimation process. The effectiveness of the proposed approach is validated through simulation studies in MATLAB/Simulink under different operating conditions, including parameter variations and measurement noise. The results demonstrate that the proposed method achieves accurate state estimation and robust control performance in the presence of uncertainties. It should be noted that the present study is limited to simulation results. | ||
| کلیدواژه‌ها | ||
| Extended Kalman Filter؛ Quadratic Boost Converter؛ IDA-PBC؛ MATLAB/Simulink؛ Estimate | ||
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