MTPA Control Algorithm Design Using Linear Interpolation Lookup Table Method

In Permanent Magnet Synchronous Motor (PMSM) control, Maximum Torque Per Ampere (MTPA) control serves as a crucial efficiency optimization technique. Compared to traditional formula-based methods or curve fitting approaches, the MTPA control strategy based on linear interpolation lookup tables offers superior engineering practicality and computational efficiency.

While formula-based methods are theoretically straightforward, they often encounter challenges in deriving analytical solutions during practical applications, limiting their control effectiveness. Curve fitting methods, although providing higher accuracy, rely on high-order computations that not only increase computational complexity but also consume substantial hardware resources, making them less suitable for real-time control systems.

The proposed linear interpolation lookup table method pre-stores the current-torque correspondence relationships at MTPA operating points. During runtime, it utilizes linear interpolation to rapidly calculate optimal current allocation for given torque requirements. This approach avoids complex online computations while maintaining high control accuracy, making it particularly suitable for embedded systems and applications with strict real-time requirements.

The key advantage of this method lies in its combination of offline optimization precision and online computational efficiency, enabling MTPA control to be easily implemented while ensuring stable operation in practical engineering applications.