Permanent Magnet Synchronous Motor Dynamic Modeling with State Observer-based Parameter Estimation for AC Servomotor Drive Application

Differential Flatness-Based Cascade Energy/Current Control of Battery/Supercapacitor Hybrid Source for Modern e–Vehicle Applications

“…The load at the DC bus is a 3-phase inverter driving a three AC motor [induction motor or permanent magnet synchronous motor (PMSM)], as a vehicle traction drive. So far, algorithms based on differential flatness have been successfully applied to power converters (e.g., 3-phase inverter and rectifier, interleaved boost converter, modular multilevel converter) [17,18,20,21], permanent magnet synchronous motor and AC servomotor [19,22,23]. Based on these previous works, the purpose of this article is to extend the use of differential flatness algorithm in an embedded DC microgrid (i.e., EV powertrain) to manage optimally its operation during static and dynamic operations.…”

“…This approach has enabled the system to be an alternative representative, of which motion planning and regulator tuning is clear-cut. This theory has lately been utilized in a variety of networks in different scientific domains [17][18][19][20][21][22][23]. Compared to the nonlinear algorithm (i.e., sliding mode, Lyapunov, fuzzy logic) reported in [13][14][15], nonlinear algorithms based on differential flatness require the use of trajectory planning to implement the control laws.…”

Differential Flatness Based-Control Strategy of a Two-Port Bidirectional Supercapacitor Converter for Hydrogen Mobility Applications

“…In 1995, the differential flatness approach was proposed by Fliess et al [24]. Based on this work carried out by Fliess et al [24], the differential flatness control strategy has been employed successfully in several works to control power electronics and manage energy flows in embedded applications [25][26][27][28][29][30][31][32]. In [25], the differential flatness control is applied to the unmanned aerial vehicle to solve trajectory planning issues, whereas in [26], this control is used in a stand-alone power supply to manage different sources (i.e., fuel cell (FC), batteries, and SCs) connected to classic converters (i.e., boosts for the FC and buck-boosts for the energy storage devices).…”

“…In comparison, in [27] the authors have employed the differential flatness theory to control an output series interleaved DC-DC boost converter for FC applications, while in [31] it is used to manage a distributed generation hybrid system based on FC and SC connected respectively to four-phase boost and buck-boost converters. In [28][29][30], the control of the AC-DC converter and DC-AC converters supplying permanent magnet synchronous motors is based on a differential flatness approach. Finally, in [32] the control of a two-phase interleaved buck-boost converters connected to energy storage devices (i.e., batteries and SC) and the stability of the DC bus in a hybrid electric vehicle is ensured by the use of this nonlinear control.…”

“…In [28][29][30], the control of the AC-DC converter and DC-AC converters supplying permanent magnet synchronous motors is based on a differential flatness approach. Finally, in [32] the control of a twophase interleaved buck-boost converters connected to energy storage devices (i.e., batteries and SC) and the stability of the DC bus in a hybrid electric vehicle is ensured by the use of this nonlinear control.…”