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Method for adaptively adjusting control parameters of BBMC-based speed regulation system of asynchronous motor
Method for adaptively adjusting control parameters of BBMC-based speed regulation system of asynchronous motor
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机译:基于BBMC的异步电动机速度调节系统的自适应调整控制参数的方法
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摘要
A mathematical model between the optimization objects and the optimization objectives is established, with finite-time control parameters as optimization objects, and a total harmonic distortion of an output voltage, a deviation signal of a capacitor voltage and a deviation signal of an output current of BBMC as optimization objectives. A multi-objective optimization satisfaction function and a multi-objective optimization fitness function are established. Multiple sets of optimal finite-time control parameters are iteratively optimized using an adaptive wolf pack algorithm. Functional relationships between respective optimal finite-time control parameters and the corresponding actual output current of BBMC are obtained using a numerical fitting method. Optimal control parameters corresponding to any load are obtained according to the obtained functional relationships. Therefore, the control parameters are adjusted in real time according to the functional relationships and the load of the BBMC-based speed regulation system or the actual output current of BBMC.
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机译:确定优化对象与优化目标之间的数学模型,具有有限时间控制参数作为优化对象,以及输出电压的总谐波失真,电容器电压的偏差信号和输出电流的偏差信号BBMC作为优化目标。建立了多目标优化满意度和多目标优化健身功能。使用Adaptive Wolf Pack算法迭代优化多组最佳有限时间控制参数。使用数值拟合方法获得各自的最佳有限时间控制参数与BBMC的相应实际输出电流之间的功能关系。根据所获得的功能关系获得对应于任何负载的最佳控制参数。因此,根据功能关系和基于BBMC的实际输出电流的功能关系和BBMC的实际输出电流,实时调整控制参数。
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