High-robustness deadbeat predictive current control method

By combining an extended state observer and a closed-loop Smith predictor, the stability problem of dual three-phase permanent magnet synchronous motors at low switching frequencies is solved, achieving highly robust deadbeat predictive current control and improving the system's disturbance rejection and current regulation stability.

CN121664059AActive Publication Date: 2026-03-13ZHEJIANG UNIV
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Patent Information

Application Number
CN202610164387.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-02-05
Publication Date
2026-03-13
Estimated Expiration
2046-02-05

AI Technical Summary

Technical Problem

At low switching frequencies, the control system of dual three-phase permanent magnet synchronous motors is susceptible to disturbances caused by factors such as changes in motor parameters, inverter nonlinearity, and back EMF fluctuations, leading to steady-state fluctuations and a decline in dynamic performance. Therefore, it is urgent to enhance the anti-disturbance capability and system stability.

Method used

An extended state observer is used to estimate the motor parameter mismatch. Combined with a closed-loop Smith predictor based on an error correction compensator, the motor model is reconstructed through a space vector decoupling matrix and Park transformation. A linear extended state observer and an angle delay compensator are designed to achieve highly robust deadbeat predictive current control.

Benefits of technology

This improves the system's robustness and disturbance rejection, ensures stable motor operation at low switching frequencies, avoids motor parameter dependence, and enhances the stability and dynamic performance of the current regulator.

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Abstract

The invention discloses a high-robustness deadbeat predictive current control method which is suitable for current control of a dual three-phase permanent magnet motor driving system, and belongs to the technical field of permanent magnet motor control. The method mainly comprises the following steps: reconstructing a motor mathematical model by adopting a space vector decoupling matrix and Park transformation to obtain a motor voltage equation under a dqxy axis; designing a linear expansion state observer; a reference value of an output voltage vector is obtained in combination with deadbeat predictive current control; time delay in the digital control system is calculated, and angle delay is compensated; and designing a closed-loop Smith predictor for compensating a time delay link to complete high-robustness dead-beat predictive current control of the dual three-phase permanent magnet motor. The current loop design in the method does not depend on motor parameters, and the method has high parameter change robustness. By introducing the closed-loop Smith predictor, large delay of the system can be effectively compensated, and high-precision current tracking is realized under low switching frequency.
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