Design of Adaptive torque optimization for Permanent magnet Synchronous machine Drives
Energy efficiency is one of the main concerns for the sustainability of the planet. Electrical motors have a significant impact on the total Electric Power consumed. Machines have to be optimized for better Utilization of power especially from batteries/Renewable. Permanent Magnet Machines are dominating the Drive Market due to their high efficiency and New Magnetic Materials. The typical load for Industrial and Mobility applications are not constant, they vary in time. In the near future, Drives will no longer be commodities; they will be a part of the System itself. Industrial drives can be tuned to give optimum performance by optimizing the Power delivery corresponding to the load Variations. Model predictive controllers have been in the industry for more than a decade, these controllers provide better Performance than PID controllers by new algorithms. The Proposed Controller Algorithm Optimizes the performance of the Motor by varying the Input control vectors sent to the Inverter by using an Adaptive control scheme using Maximum Torque per Ampere for high torque and Flux-Weakening for high speeds based on corresponding load torque and reference speed. Model Reference Adaptive Speed Control reduces the errors from the rotary encoder and it can be used on a DSP or high-Speed Microcontroller. This method of control was evaluated for a 500 Volts Permanent Magnet Synchronous Machine and simulated in Simulink/MATLAB. Space Vector Pulse Width Modulation was used for better utilization of energy from DC Source. This Technique provided better results than non-Optimized Systems. Torque ripples which contribute to instability and wear and tear were also minimized. This model can be implemented in any DSP, Microcontroller or any programmable Semiconductor.
Keywords- PMSM, adaptive control, Torque optimization, MRAS, MPC