International audience

In this paper, a new approach for extracting the angular position estimation error (APEE) of an Interior Permanent Magnet Synchronous Machine (IPMSM) is proposed. APEE is obtained from the measurable currents in the stationary reference frame (α,β) without the use of high-frequency injection or Back-electromotive force (BEMF). Moreover, using the APEE and, from the mechanical system of the IPMSM, a High Order Sliding Mode Observer (HOSMO) is used to estimate the angular position, speed and disturbance of the IPMSM. An analysis of convergence of the proposed observer is established using a Lyapunov approach. Furthermore, experimental results and a comparative study are presented to illustrate the performance of the proposed approach.

In this paper, a new optimization problem is proposed for improvement of PWM control of an inverter that supplies a generic RLE load. Two objectives functions are studied separately: Weighted Total Harmonic Distortion (WTHD) of load voltages and total losses. The gap contribution is related to optimize the zero sequence component waveform by defining special decision variables. By doing so, the proposed PWM strategy allows to improve the WTHD and efficiency of converters by keeping a classical PWM implementation scheme. Moreover this approach has the same way of thinking than the two main different classes of PWM strategies that are Space-Vector-based PWM (SVM) methods and classic carrier-based PWM methods (CBPWM). It is well known that there is an equivalence between SVM and CBPWM through the zero sequence component injection. So, optimized zero sequences are proposed for the two objectives functions considered, and the simulation results show a significant improvement compared to classical CBPWM strategies. Moreover the proposed strategy allows an implementation on existing hardware by modifying only the modulation component software.

This paper proposes a control strategy to reduce speed ripples at low speed working conditions of Permanent Magnet Synchronous Machines (PMSMs) for Electric Vehicle Applications. The treated issue is related to the periodic torque ripples which induce speed oscillation that deteriorate the drive performance. To ensure a high-performance control regarding this issue, the reported work proposes an original control method based on Grey Wolf (GW) algorithm. The key idea of the proposed approach is to incorporate the benefit of fast optimization process of the GW optimizer in order to find input controls which satisfy the speed tracking and minimize speed ripples. The proposed method is described and the speed ripple issue is analyzed. Experimental results show that the proposed control method can be implemented in real-time on embedded hardware, offering high performance in both steady and transient states of the PMSM drives even at low speed range.

This paper proposes a robust control approach for improving the power quality in three-phase standalone based micro-grids. The key developed idea is to increase the disturbance rejection ability of an Interconnection and Damping Assignment Passivity-Based Controller (IDA-PBC)by adding an integral action. Indeed, the classical IDA-PBC techniques suffer from their parametric dependency. Hence, the use of the proposed technique allows enhancing the load voltage quality either in nominal operating conditions or in presence of system uncertainties. The power system circuit is modeled as a Port-Controlled Hamiltonian (PCH)system. Then, the control design is detailed. The validity of the proposed control algorithm is verified using simulation studies, and its effectiveness is illustrated through a comparison analysis with a Proportional-Integral (PI)under various operating conditions.

In this paper, an improved high frequency (HF)injection method coupled with a robust observer is proposed for Interior Permanent Magnet Synchronous Motor (IPMSM), to estimate position, speed and acceleration without mechanical sensors. The contribution is twofold. First, a square-wave HF signal injection method with a new demodulation process is adopted to improve the performances of the self-sensing control. Second, an extended sliding mode observer combined with the HF method is proposed to get over the knowledge of machine parameters (inductances, inertia, frictions, ...)and to improve the estimation error in transient modes, which are the drawbacks of existing tracking algorithms (phase-locked loop (PLLs), mechanical system observers, inverse of tangent). Simulation and experimental results are provided to show the effectiveness and the robustness of the proposed strategy in the framework of electric propulsion used in automotive applications.