基于自适应解耦线性化的感应电机控制

L. Guohai, Huang Zhaochun, Liao Zhiling, Zhang Hao, Wu Jianbin
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引用次数: 1

摘要

给出解耦问题的一般公式,并将其应用于异步电动机在干扰输入为零的情况下的调速。将转子转速和转子磁链这两个子系统作为下一节自适应控制的参考模型。提出了一种自适应律来抵消干扰的有害影响,干扰会导致解耦和线性化的损失。证明了参考模型输出与控制对象输出的误差指数收敛于零,系统是稳定的。通过对参数的选择,降低了算法的计算复杂度。这使得它更适合由高速dsp执行的速度控制系统。仿真结果表明,在系统暂态过程中,磁链和速度仍然是解耦的。该控制方法适用于高动态性能应用。
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Control of induction motors based on adaptive decoupling linearization
General formulation of decoupling problem is presented and applied to the speed regulation of the induction motor under the assumption that disturbing inputs are equal to zero. The two subsystems: rotor speed and rotor flux, are treated as the reference model of adaptive control for the next section. An adaptive law is presented to counteract the harmful effects of disturbances, which cause the loss of decoupling and linearizing. It Is proved in the paper that the errors between outputs of reference model and control object are exponentially convergent to zero, and the system is stable. By choosing parameters, the algorithm reduces the complexity of calculation at the same time. This makes it more suitable for the speed control system performed by the high-speed DSPs. Simulations show that flux and speed are still decoupled during the transient of the system. The proposed control is suitable for high-dynamic performance applications.
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