Motor control optimization system and method

Abstract

The invention discloses a motor control optimization system and method. The method includes: a control loop controls the motor to run according to a preset control logic. The optimization loop detects the motor operation and sends the motor operation parameters to the cloud. The cloud collects and analyzes the relationship between the parameters of the control loop and the motor operating parameters, determines the optimal parameters for better motor operation, and updates the optimal parameters to the control loop. The motor control optimization system and method of the present invention performs hierarchical management and control by setting a control loop and an optimization loop, and the control loop can independently control the operation of the motor to ensure control stability. The optimization loop interacts with the cloud to complete the adaptive update of the control logic, with strong adaptability and robustness, reducing the control difficulty and improving the control effect.

Description

technical field [0001] The invention relates to the technical field of motor control, in particular to a motor control optimization system and method. Background technique [0002] Synchronous reluctance motor (SynRM) has no permanent magnets, and has attracted more and more attention in the industry due to its advantages such as low cost, strong rotor structure, no demagnetization problem, and no short-circuit fault current. Its excellent structural features (no permanent magnets and no rotor windings), unique control features (low cost, high reliability, high overload capacity and high efficiency in the full load range), make synchronous reluctance motors expected to become a market with a huge market share. Potential replacement for induction motors, permanent magnet motors. [0003] In the operation control of the synchronous reluctance motor, due to the nonlinearity of the magnetic model and the nonlinearity of the temperature rise, the motor control is difficult and t...

AI Technical Summary

Problems solved by technology

[0003] During the operation control of the synchronous reluctance motor, due to the nonlinearity of the magnetic model and the nonlinearity of the temperature rise, the motor control is difficult and the effect is poor.

And it is difficult to dynamically adjust the control terminal according to the running state of the motor, and the adaptability is poor

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