A New Flux Linkage Estimation with Drift Cancellation Technique for Switched Reluctance Machines

Abstract

Assessing the flux linkage is an important feature for electric machines, including switched reluctance machines. However, sensor calibration errors and noise impose a problem known as drift, which is caused by the integration process used to estimate the flux linkage. This paper proposes a flux linkage estimation with a drift cancellation technique. The technique accounts for the switched reluctance machine’s working and driving principles. Simulation and experimental results are used to validate the proposed method. Additionally, a goodness-of-fit analysis is performed to support the outcomes. A R 2 factor of 0.9823 is found between the experimentally and simulation-estimated flux linkage. The results indicate that the method works properly and may be further used in control techniques and iron losses estimation.

Cruise control systems for three-phase switched reluctance machines applied to electric vehicles

“…Electric and hybrid electric vehicles are exposed to large variations in load torque and operational speed. Regardless of the torque control method applied, if the driving angles are fixed, the torque ripple will be dependent on the operation point [de Paula et al 2020].…”

“…The speed oscillations present in [de Paula et al 2020] may be decreased by stopping the MTRPT action whenever the extremum point is successfully tracked. Towards that, the algorithm must be able to determine if the extremum point was found, stop perturbations onto θ of f to keep the operation point, and monitor any extremum point changes.…”

“…In [ de Paula et al 2020] an online minimum torque ripple point tracker is proposed along with a torque sharing function and Dahlin based cruise control. In these works efficiency is not regarded and no generating mode operation is considered.…”

“…As discussed in [ de Paula et al 2020], the turn-off angle variation generates undesired speed undulations. Therefore, the optimum point tracking algorithm must be able to lock onto the optimum point whenever it is determined and also start seeking for a new optimum point when it change.…”

“…In the SD, a derivative optimization, with fast convergence time, determines the MPP with variable steps size. In[Xiao et al 2007] is presented a modified SD capable of monitoring the MPP and locking into it if the MPP is found, or unlocking from it if the MPP changes.In [de Paula et al 2020], a minimum torque ripple point tracking algorithm was developed based on the perturb and observe, and on the incremental conductance maximum power point tracking (MPPT) algorithms from PV systems. The developed control algorithm accounts for the current profiling through torque sharing functions technique for torque regulation, and a Dahlin controller is used for cruise control.…”