TY - JOUR
AU1 - Chandra, Kumar Pakki Bharani
AU2 - Potnuru, Devendra
AU3 - Durairaj, Danalakshmi
AU4 - Manoharan, Premkumar
AU5 - Alhelou, Hassan Haes
AB - Sensorless speed control of a brushless DC (BLDC) motor, basically a combined control‐observer design, plays a crucial role in several industries, including electrical and aerospace applications. The key idea is to use only electrical (current) sensors and the remaining mechanical states (speed and rotor position) to be estimated using square‐root extended H∞$\text{H}_\infty$ filter (SREH∞$\text{H}_\infty$F) for a BLDC motor. These estimated states are then fed‐back to the controller. In most of the designs, it is assumed that the BLDC motor plant parameters are constant; however, in reality, their parameters vary due to various intrinsic and extrinsic conditions. Compared to the conventional extended Kalman filter or its square‐root version, the proposed SREH∞$\text{H}_\infty$F for the BLDC motor has an inherent tendency to deal with parameter uncertainties and hence improves the robustness of the overall system. The robustness of the proposed scheme is tested at various reference speeds for a closed‐loop BLDC drive; further parametric uncertainties in stator resistance, detuning of inductance, and change in load are considered. The proposed control‐observer strategy using SREH∞$\text{H}_\infty$F is compared with its counterpart square‐root extended Kalman filter (SREKF), and the experimental results validate the efficacy of SREH∞$\text{H}_\infty$F for speed control of BLDC motor drive during the nominal conditions and in the presence of parametric uncertainties.
TI - Nonlinear state estimator design and implementation for speed control of a BLDC motor drive using square‐root extended H∞$\text{H}_{\infty}$ filter
JF - IET Power Electronics
DO - 10.1049/pel2.12545
DA - 2023-10-01
UR - https://www.deepdyve.com/lp/wiley/nonlinear-state-estimator-design-and-implementation-for-speed-control-kaWs0jgRlk
SP - 2249
EP - 2260
VL - 16
IS - 13
DP - DeepDyve
ER -