A novel computationally efficient algorithm for predictive control of current, flux and torque control in AC drives has been investigated. Simulation results obviously show its high performance in terms of high dynamic and inclusion of nonlinearities. The prominence of the developed approach is that it offers an online solution for minimizing the cost function. This makes the predictive control realizable using available digital signal processor in industrial drive. Compare to FCS-MPC with only one prediction horizon, being the most simple approach to model predictive control, EFCS-MPC requires no more mathematical complexity. Although it demands more computational power but it is not a limit for the practical realization. Furthermore, it is well suited for low cost FPGA based digital control systems. The proposed control strategy does not rely on coordinate transformation, and calculates controller outputs directly in stationary coordinate system. This simplifies consideration of the constraints of the stator current, also utilizing the maximum available voltage of the inverter. The investigated technique allows including all nonlinearities, cross coupling as well as constraints, existing in the drive system. The effectiveness of the proposed approach is studied for 5 kHz sampling frequency. Practical implementation of the developed technique is also a key point being discussed in this paper.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren




    Model-based predictive control of electric drives

    Linder, Arne ;Kanchan, Rahul ;Kennel, Ralph | GWLB - Gottfried Wilhelm Leibniz Bibliothek | 2010


    Model-based predictive control of electric drives

    Linder, Arne ;Kanchan, Rahul ;Kennel, Ralph | TIBKAT | 2010