Virtual Sensor Estimation for Permanent Magnet Synchronous Motor Control

The patent creates a virtual sensor signal by copying and processing the information from the reduced set of real sensors. The virtual sensor reproduces the functionality of the missing sensors through mathematical transformations and signal processing, allowing the system to maintain full control capability with fewer physical sensors. This resolves the contradiction by replacing expensive physical sensors with computational copies.

The patent dynamically adjusts control parameters including electrical phase shifts and timing offsets based on the detected operating regime (start-up, nominal speed, gradual stopping, emergency stop). By changing these parameters adaptively, the system optimizes motor performance across all operating conditions despite using fewer sensors, thus resolving the contradiction between sensor reduction and operational adaptability.

The patent implements dynamic adjustment of the electrical phase shift parameter based on the motor's operating regime. During start-up, a larger phase shift is applied to maximize acceleration torque. During nominal speed operation, the phase shift is reduced to optimize efficiency and thermal performance. This dynamic adaptation resolves the contradiction by allowing the system to prioritize acceleration when needed and efficiency when operating at steady state.

The patent employs different control strategies for different operating phases (start-up, nominal speed, stopping). By periodically switching between these strategies based on the current operating regime detected through sensor information, the system optimizes performance for each phase while managing thermal and energy constraints, thus resolving the contradiction between acceleration performance and thermal management.