利用先进的滑动模式和直接矢量控制提高同步磁阻机控制的性能和鲁棒性

Belkacem Selma, Elhadj Bounadja, Bachir Belmadani, Boumediene Selma
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引用次数: 0

摘要

本文的重点是改进由两级脉宽调制(PWM)逆变器供电的同步磁阻电机(SynRM)驱动器的控制方法。虽然经典的滑模控制 (SMC) 已被广泛应用于控制系统设计中,但它也存在各种缺点,如明显的颤振效应、相当大的瞬态误差和鲁棒性降低。这些局限性阻碍了它的实际应用。为了提高 SynRM 的性能,本文介绍了一种结合直接矢量控制 (DVC) 和高级滑模控制 (ASMC)(此处指三阶滑模指令 (TOSMC))的新策略,用于调节速度和 dq 轴定子电流。这种方法的主要目标是实现精确高效的控制,同时最大限度地减少电流中的总谐波失真(THD)并降低输出转矩波动。值得注意的是,这一策略充分利用了 TOSMC 和 DVC 的优势。通过在 MATLAB/Simulink 环境中实现的两组全面仿真,验证了所提控制方案的有效性。第一组仿真包括负载扭矩测试,即电机承受两个不同级别的负载扭矩。这些测试结果展示了控制方案在不同负载条件下的性能。第二组模拟涉及速度变化测试,即有意改变电机速度。该测试评估了控制方法有效处理动态速度变化的能力。建议的控制策略与传统控制方法(包括比例-积分和二阶滑动模式指令 (SOSMC) 控制)进行了进一步比较。结果一致表明,新方法在精确控制、鲁棒性和整体稳定性方面表现出色。DVC 和 TOSMC 的结合为在存在负载干扰和速度变化的情况下实现增强型电机控制提供了一条前景广阔的途径。
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Improved performance and robustness of synchronous reluctance machine control using an advanced sliding mode and direct vector control

This article focuses on improving the control approach for a synchronous reluctance motor (SynRM) drive powered by a two-level pulse width modulation (PWM) inverter. While classical sliding mode control (SMC) has been extensively used in control system design, it comes with various drawbacks such as pronounced chattering effects, considerable transient state errors, and reduced robustness. These limitations hinder its practical applicability. To enhance the performance of the SynRM, this paper introduces a novel strategy that combines direct vector control (DVC) with advanced sliding mode control (ASMC), here referring to third-order sliding mode command (TOSMC), for regulating speed and dq-axis stator currents. The primary objective of this approach is to achieve precise and efficient control while minimizing total harmonic distortion (THD) in current and reducing output torque fluctuations. Notably, this strategy capitalizes on the strengths of TOSMC and DVC. The efficacy of the proposed control scheme is verified through two sets of thorough simulations realized in MATLAB/Simulink environment. The first set of simulations encompasses the load–torque test, where the motor is subjected to two different levels of load torque. The results from these tests showcase the control scheme's performance under varying load conditions. The second set of simulations involves the speed variation test, where intentional changes are applied to the motor's speed. This test assesses the control approach's ability to handle dynamic speed changes effectively. The proposed control strategy is further compared with conventional control methods, including proportional–integral and second-order sliding mode command (SOSMC) controls. The results consistently demonstrate the superior performance of the novel approach in terms of accurate control, robustness, and overall stability. The combination of DVC and TOSMC offers a promising avenue for achieving enhanced motor control in the presence of load disturbances and speed variations.

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