间接矩阵变换器-双异步电机调速系统的模型预测控制权重因数整定

doi:10.19595/j.cnki.1000-6753.tces.231428

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Abstract The structure of the indirect matrix converter double induction motor speed control system is complex, and the IMC-DIM system often operates in a wide range of multimodal conditions in practical applications. Traditional MPVC methods are difficult to meet the grid side power quality and motor speed performance requirements of the system under complex operating conditions. To address this issue, this paper proposes a model predictive voltage control (AHP-MPVC) method based on analytic hierarchy process (AHP) evaluation weight factor tuning, solved the problems of multiple weight factors, high tuning difficulty, and inability to ensure good performance of the system under wide range and multimodal conditions in the simplified MPVC method.
This method obtains the grid side reference current, grid side current prediction model, output reference voltage, and output voltage prediction values. The internal structure is divided into five parts: unified dimension and multi motor unified part, integrated grid side and motor side part, reference output voltage estimation part, basic weight factor adjustment based on Analytic Hierarchy Process evaluation, and real-time weight factor adjustment. By combining physical dimensions, dual motors, grid side and motor side, the number of weight factors is reduced to one. By measuring the different performance indicators of grid side and motor side under different weight factors in a certain working condition, the optimal weight factor is obtained based on the Analytic Hierarchy Process evaluation method λ_op and basic weight factor λ₀ At this point, the weight coefficients in the cost function can be adjusted in real-time according to the operating conditions, and the system can achieve better control effects under different operating conditions. In the simulation, the reference speed of motor 1 is 600 r/min, the load torque is 10 N·m, and the reference speed of motor 2 is 300 r/min, and the load torque is 7 N·m under different weight factors λ Conduct performance testing to obtain the optimal weight factor λ_op=70, basic weight factor λ₀=0.55. Then, under another working condition, the simplified MPVC method and AHP-MPVC method are used to obtain the grid side voltage and current, as well as the stator current and speed waveforms of the two motors. The simplified MPVC method has a grid side current THD of 6.06%, motor 1 stator current THD of 2.20%, and motor 2 stator current THD of 1.52%; The grid side current THD of the AHP-MPVC method is 4.57%, the stator current THD of motor 1 is 2.47%, and the stator current THD of motor 2 is 2.13%. In the experiment, the reference speed of motor 1 was 600 r/min, the load torque was 10 N·m, and the reference speed of motor 2 was 300 r/min, and the load torque was 7 N·m, λ_op=50, λ₀=0.71. Under another working condition, the simplified MPVC method and AHP-MPVC method are used to obtain the voltage and current waveforms on the grid side, as well as the stator current and speed waveforms of the two motors. Among them, the THD of the simplified MPVC method for grid side current is 11.69%, the THD of motor 1 stator current is 10.52%, and the THD of motor 2 stator current is 13.22%. The grid side current THD of the AHP-MPVC method is 10.94%, the stator current THD of motor 1 is 11.48%, and the stator current THD of motor 2 is 14.29%.
This article proposes a model predictive voltage control method based on Analytic Hierarchy Process (AHP) evaluation and weight factor tuning for the IMC-DIM system. (1) The simulation and experimental results show that this method can achieve power factor close to 1 under various working conditions, sinusoidal and small distortion of grid side current, and good dynamic speed regulation performance of the motor. (2) Compared with simplified MPVC, this method has fewer weight factors and is easy to tune.(3) Compared with simplified MPVC, this method has better grid side power quality and motor speed regulation performance in multiple power flow modes and wide operating range.

Key words： Indirect matrix converter induction motors multi motor drive model predictive control weighting factor turning analytic hierarchy process

Received: 31 August 2023

PACS:	TM46
	TM343

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