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Decoupling Control of Bearingless Induction Motor Based on LS-SVM Inverse System

机译:基于LS-SVM逆系统的无轴承感应电动机去耦控制

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According to the strong coupling between the electromagnetic torque and radial suspension force, and the difficulty of establishing a precise mathematical model of bearingless induction motor, least squares support vector machine is proposed in this paper. The inverse model approximated by the LS-SVM is connected with the original system, decoupling a complex nonlinear multivariable system into four relatively independent pseudo-linear sub-systems of single input and single output. At the same time, fuzzy PID control strategy is introduced to the pseudo linear system to ensure the robustness and anti-jamming ability of the control system. Then the performance is simulated with Matlab/Simulink. The theory research and simulation experiment have validated that the decoupling control of inverse system based on least squares support vector machine method can be successfully realized, which between the electromagnetic torque and radial suspension force, and the good performance of dynamic and static state of system can be also obtained.
机译:根据电磁扭矩和径向悬挂力之间的强耦合,并且在本文中提出了建立无轴承感应电动机的精确数学模型,提出了本文的最小二乘支持向量机。由LS-SVM近似的逆模型与原始系统连接,将复杂的非线性多变量系统与单个输入和单个输出的四个相对独立的伪线性子系统解耦。同时,将模糊PID控制策略引入伪线性系统,以确保控制系统的鲁棒性和抗干扰能力。然后使用Matlab / Simulink模拟性能。理论研究和仿真实验已经验证了基于最小二乘支持向量机方法的反向系统的去耦控制,可以成功实现,这在电磁扭矩和径向悬架力之间,以及系统动态和静态状态的良好性能也得到了。

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