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Research on Adaptive Control of PMSM based on Fuzzy PID

机译:基于模糊PID的PMSM自适应控制研究。

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摘要

In view of the industrial robot permanent magnet synchronous motor(PMSM) is often subject to variable load and other conditions, this paper proposes a fuzzy adaptive PID control strategy which based on a large number of expert experience and practical experiments. In the actual operation process, the fuzzy control is used to optimize the real-time PID control parameters. The model of position control and velocity vector control was established by matlab/simulink and realization in DSP28035 control system. The results show that this algorithm has good stability, strong adaptability, no overshoot in speed and position control and small computation, so it is suitable for the motor servo controller.
机译:鉴于工业机器人永磁同步电动机(PMSM)经常承受可变负载等条件,本文基于大量的专家经验和实际实验,提出了一种模糊自适应PID控制策略。在实际运行过程中,模糊控制用于优化实时PID控制参数。通过matlab / simulink建立了位置控制和速度矢量控制模型,并在DSP28035控制系统中实现。结果表明,该算法具有稳定性好,适应性强,速度和位置控制不超调,运算量小等优点,适用于电机伺服控制器。

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