Sliding mode control of a feedback linearized induction motor using TS fuzzy based adaptive Iterative Learning Controller
Sliding mode control of a feedback linearized induction motor using TS fuzzy based adaptive Iterative Learning Controller
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DOI：
10.1109/peds.2011.6147316
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发表时间：
2011-12
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影响因子：
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通讯作者：
Madhu Singh;K. Mohanty;B. Subudhi
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文献类型：
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作者：
Madhu Singh;K. Mohanty;B. Subudhi
本文提出了一种应用的Takagi Sugeno（TS）模糊逻辑为基础的自适应迭代学习控制器（ILC），以减少抖振，转矩脉动和改善动态性能的反馈线性化感应电机驱动器与滑模控制器的周期性速度跟踪。该ILC连接到滑模速度控制回路的前向路径。首先，采用状态反馈线性化技术对速度和磁链控制回路进行解耦。该方法采用坐标系变换，以转子磁链和定子电流分量为状态变量，在静止（α-β）坐标系下进行控制。针对异步电机调速系统对参数变化、模型不确定性和负载扰动的敏感性，设计了一种基于滑模变结构的鲁棒控制策略。在基于滑模控制的方案中，存在状态和控制变量的抖振以及转矩脉动。为了减小抖振和转矩脉动，设计了一种基于TS模糊逻辑的自适应迭代学习控制。在SIMULINK环境下对两种控制方案进行了仿真。仿真结果表明，基于滑模和TS模糊逻辑的自适应迭代学习控制的性能优于仅采用滑模控制器的方案。这些仿真结果也验证了真实的时间模拟器，RT实验室。
This paper presents an application of a Takagi Sugeno (TS) Fuzzy logic based adaptive Iterative Learning Controller (ILC) to reduce chattering, torque ripple and to improve dynamic performance of a feedback linearized induction motor drive with sliding mode controller for periodic speed tracking. This ILC is connected to the forward path of sliding mode speed control loop. At first, the state feedback linearization technique is used for decoupling speed and flux control loop. It uses reference frame transformation and control in a stationary (α-β) frame with rotor flux and stator current components as the state variables. Since the induction motor drive system is sensitive to parameter variation, model uncertainties and load disturbances, a robust control strategy based on sliding mode is designed. In the sliding mode based scheme the chattering of state and control variables and torque ripple are present. To reduce chattering and torque ripple, a TS fuzzy logic based adaptive ILC is designed. Both control schemes are simulated in SIMULINK environment. Simulation results demonstrate that the performance of sliding mode cum TS fuzzy logic based adaptive ILC is better than the scheme with only sliding mode controller. These simulation results are also verified with real time simulator, RT Lab.