Motor control optimization system and method

Abstract

The invention discloses a motor control optimization system and method. The method comprises the steps that a control loop controls a motor to operate according to preset control logic; a optimizationloop detects the operation condition of the motor and sends the operation parameters of the motor to a cloud; and the cloud collects and analyzes the relationship between the parameters of the control loop and the operation parameters of the motor, determines better parameters with better motor operation effects, and updates the better parameters into the control loop. According to the motor control optimization system and method, the control loop and the optimization loop are arranged for hierarchical management and control, the control loop can independently complete control over motor operation, and the control stability is guaranteed. The self-adaptive updating of the control logic is completed through the interaction of the optimization loop and the cloud, the adaptability and robustness are high, the control difficulty is reduced, and the control effect is improved.

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 motors (SynRM) do not have permanent magnets. Because of the advantages of low cost, sturdy rotor structure, no demagnetization problems, and no short-circuit fault current, they have attracted more and more attention from the industry. Its excellent structural characteristics (no permanent magnets and no rotor windings) and unique control characteristics (low cost, high reliability, high overload capacity and high efficiency in the full load range) make the synchronous reluctance motor expected to become a huge market share Potential replacement for induction motors and permanent magnet motors. [0003] In the operation control of synchronous reluctance motor, due to the nonlinearity of the magnetic model and the nonlinearity of temperature rise, the motor control is difficult an...

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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