Simple on-line compensation scheme of nonlinearity in inverter-fed PMSM drive using MRAC and co-ordinate transformation

Online Estimation of the Rotor Flux Linkage and Voltage-Source Inverter Nonlinearity in Permanent Magnet Synchronous Machine Drives

“…However, most methods need accurate PMSM parameter values [22]- [27], [35], [42], or zero rotor speed [8]. Thus, it is impossible for these methods to estimate the distorted voltage prior to the estimation of PMSM parameter values.…”

Improved estimation scheme for disturbance due to dead time and inverter nonlinearity in inverter‐fed PMSM drive

“…In addition, these schemes compensated only the dead time without considering inverter nonlinearity. To overcome the limitation requiring additional hardware, on‐line basis techniques using observer or adaptation schemes have been proposed [1, 3]. Although good performance is obtained, the work in [1] still has the drawback that the estimator has to track the time‐varying disturbances.…”

“…It is only recently that an estimator was designed at the stationary frame where the disturbance due to the dead time and inverter nonlinearity can be considered as slowly time‐varying [3]. This scheme transforms a periodically time‐varying disturbance into a slowly time‐varying one.…”

An Improved PMSM Drive Architecture Based on BFO and Neural Network

“…Various solutions have been suggested for these problems. The main idea is to change or replace the three commonly used PI controllers by neuron network, fuzzy and neuro-fuzzy controllers, as presented in [7], [8], [9] and [10], or controllers characterized by robustness, as in the IMC or MRAC methods presented respectively in [11] and [12]. The efficiency of the neural network approach has been proven, as well as its robustness and precision in various applications, as presented in [13] and [6].…”