The paper proposes an adaptive method for compensating the speed dependent position estimation offset introduced by parameter sub-evaluation needed for proper operation of an industry adopted flux observer used in field oriented control schemes for PMSM. The method was tested using a test-bench composed of the PMSM control kit YRotate-IT-RX23T from Renesas driving a PMSM connected to a generator with resistive load used as adjustable brake. The experimental results are compared with the simulations of the modeled test-bench.

The need for protection of electrical machines comes as a demand of safety regulations in the automotive industry as well as a result of the general desire to obtain a robust and reliable electric powertrain. This paper introduces a hybrid method for estimating the temperature of the rotor of an Induction Machine (IM) based on a Nonlinear Autoregressive Network with Exogenous inputs (NARX) used as a prediction function within a particle filter. The temperature of the stator case is measured, and the information is used as an input to a NARX network and as a variable to a thermal process with first-order dynamics which serves as an observation function. Uncertainties of the NARX and thermal model are determined and used to correct the posterior estimate. Experimental data are used from a real IM test-bench and the results prove the applicability and good performance.

In this paper, we describe a passivity-based control (PBC) approach for in-wheel permanent magnet synchronous machines that expands on the conventional passivity-based controller. We derive the controller and observer parameter constraints in order to maintain the passivity of the interconnected system and thus improve the control system’s robustness to varying loads and plant parameters. The advantages of the proposed PBC technique are demonstrated in contrast with conventional PBC. The control technique is implemented on an electronic development board equipped with a fixed-point digital signal processor and coupled to a gallium nitride voltage source inverter and 350 W electric machine. Test bench results and numerical simulations in Matlab-Simulink demonstrate the control performance and behaviour under varying loads and parameters.

The paper approaches an optimal adaptive control problem for an electrical drive system. Using some previous results referring to an easy implementable optimal controller, the authors develop an adaptive procedure, which can be applied when certain parameters of the electrical drive are modified. The estimation of the load torque is also considered. Theoretical and simulation results are presented.