Scholarlink

<p>In the speed control of IM drives, there are three major challenges: long convergence time, undesirable chattering phenomenon caused by high-frequency switching, and low tracking accuracy in the presence of external disturbances and parameter uncertainties. Fundamentally, these problems in scalar V/f control, field-oriented control (FOC), and direct torque control (DTC) cannot be solved simultaneously only by the methods they are currently using. Although the sliding mode-based methods are robust, they usually have high chattering and variable convergence time. Predictive methods (MPC) are also computationally intensive and model-sensitive despite high tracking accuracy. To overcome these limitations, this exploration provides a new adaptive predictive SMC (ASMPC) with a hybrid reaching law. The main innovation is in designing an adaptive reaching law with variable gain that simultaneously increases the convergence speed and reduces the chattering. In addition, a final controller has been developed based on a cost function that was minimized to improve tracking performance under diverse operating conditions. In the second phase, actual work was performed on a 0.75&#xa0;kW induction motor for quantitative performance assessments. The outcomes reveal that the recommended method has a convergence time of under 1&#xa0;s, a steady-state error under 1&#xa0;rpm, and an under 1&#xa0;rpm tracking input error for variable step input. In tracking a sinusoidal input with an amplitude of 200&#xa0;rpm and a frequency of 2&#xa0;Hz, the error of the proposed method is about 1&#xa0;rpm, while the adaptive MPC (AMPC) method shows an error of about 6&#xa0;rpm. Also, the chattering bandwidth of the proposed method approaches zero. These quantitative indices corroborate that the method reduces the vibration, has a faster convergence speed, and better tracking accuracy.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

A novel hybrid control method for the speed control of induction motors with low convergence speed and chattering: a new hybrid reaching law approach

  • 期刊论文

  • 发表日期：

    2026年8月3日

查看全文
  • Changchun Yuan,
  • Yadong Wang

摘要

In the speed control of IM drives, there are three major challenges: long convergence time, undesirable chattering phenomenon caused by high-frequency switching, and low tracking accuracy in the presence of external disturbances and parameter uncertainties. Fundamentally, these problems in scalar V/f control, field-oriented control (FOC), and direct torque control (DTC) cannot be solved simultaneously only by the methods they are currently using. Although the sliding mode-based methods are robust, they usually have high chattering and variable convergence time. Predictive methods (MPC) are also computationally intensive and model-sensitive despite high tracking accuracy. To overcome these limitations, this exploration provides a new adaptive predictive SMC (ASMPC) with a hybrid reaching law. The main innovation is in designing an adaptive reaching law with variable gain that simultaneously increases the convergence speed and reduces the chattering. In addition, a final controller has been developed based on a cost function that was minimized to improve tracking performance under diverse operating conditions. In the second phase, actual work was performed on a 0.75 kW induction motor for quantitative performance assessments. The outcomes reveal that the recommended method has a convergence time of under 1 s, a steady-state error under 1 rpm, and an under 1 rpm tracking input error for variable step input. In tracking a sinusoidal input with an amplitude of 200 rpm and a frequency of 2 Hz, the error of the proposed method is about 1 rpm, while the adaptive MPC (AMPC) method shows an error of about 6 rpm. Also, the chattering bandwidth of the proposed method approaches zero. These quantitative indices corroborate that the method reduces the vibration, has a faster convergence speed, and better tracking accuracy.