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- Predictive Torque Control of SynRM Drives with online MTPA Trajectory Tracking and Inductances EstimationPublication . Hadla, Hazem; Cruz, Sérgio; Varatharajan, AnantaramThis paper proposes a new predictive torque control algorithm for synchronous reluctance motor drives with the ability to track online the maximum torque per ampere trajectory. An additional term is included in the cost function of the predictive control algorithm which uses an adaptive weighting factor to improve the dynamic behavior of the drive system. As the derivative of torque with respect to the current angle depends on the values of the apparent and incremental inductances, the apparent inductances are estimated online based on the values of the flux linkage and current components while the incremental inductances are estimated using a recursive least squares (RLS) algorithm. Experimental results validate the proposed control algorithm and demonstrate a remarkable performance both in steady-state and during transients, as well as a reduction of the current ripple and audible noise.
- Predictive Stator Flux and Load Angle Control of Synchronous Reluctance Motor Drives Operating in a Wide Speed RangePublication . Hadla, Hazem; Cruz, SérgioThis paper presents a new simplified finitecontrol- set model predictive control strategy for synchronous reluctance motors operating in the entire speed range. It is a predictive control scheme that regulates the stator flux and the load angle of the synchronous reluctance motor, incorporating the ability to operate the drive in the field-weakening region and respecting the motor voltage and current limits as well as the load angle limitation needed to operate this type of motor in the maximum torque per voltage region. The proposed control strategy possesses some attractive features, such as no need for controller calibration, no weighting factors in the cost function, good robustness against parameter mismatch, and smaller computational cost compared to more traditional finite-control-set model predictive control algorithms. Simulation and experimental results obtained using a high-efficiency synchronous reluctance motor demonstrate the effectiveness of the proposed control scheme.
- Active Flux Based Finite Control Set Model Predictive Control of Synchronous Reluctance Motor DrivesPublication . Hadla, Hazem; Cruz, SérgioThis paper presents two new finite control set model predictive control (FCS-MPC) strategies for synchronous reluctance motor (SynRM) drives, using the active flux concept. Both control strategies guarantee a fast and independent control of the torque and active flux of the SynRM, in order to obtain a high performance drive. The first strategy relies on a more conventional implementation of a FCS-MPC algorithm, which requires some effort to tune the weighting factors used in the cost function. The second control approach corresponds to a simplification of the first one, and allows a reduction of the calculation time associated to the predictions stage of the algorithm and, at the same time, avoids the use of weighting factors in the cost function. This allows to simplify the implementation of the control system, obtaining the same dynamic performance as with the first strategy. Experimental and simulation results verify the validity and effectiveness of the two proposed control schemes for SynRM drives. Furthermore, a state-of-the-art control technique like direct torque control is also considered in the paper, for performance comparison purposes.