Power Optimization Control with Tracking Differentiator for Interior Permanent-Magnet Synchronous Motor

A simple but effective power optimization control (POC) algorithm is one of the consistently pursued objectives in drive systems. However, it is still challenging to get the desired algorithm and control quality due to complicated relations between loss power and stator current. This paper proposes a power optimization strategy to achieve higher power efficiency with a more straightforward controller. Based on the mathematical characteristics of loss power, maximum torque per ampere (MTPA) and loss minimization control (LMC) methods can be both transformed into minimum problems. Then, the derivative of a given signal is extracted by using the tracking differentiator, and an adaptive optimization algorithm is tailored to converge on the optimal point quickly. The critical advantages of the proposed method are that it avoids the need for accurate motor parameters and utilizes the derivative of stator current to structure an intuitive optimization strategy. The comparative experimental results demonstrate that the proposed method achieves higher performance under different operations.