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提出了一种新的基于模糊控制理论的变步长自适应算法,将其应用于有源全补偿消弧控制的谐波电流检测中,得到很好的效果。模糊推理算法适合于强非线性、强不稳定性系统,自适应算法具有良好的自学习和自调整能力,本文提出的新算法将两者结合在一起,实现优势互补,解决了传统LMS算法跟踪速度和稳态误差之间的矛盾,既具有较快的动态响应速度,又保持较小的稳态误差,滤波性能得到改善,而且计算量小。实验和仿真验证了该方法的有效性和优越性。
A new variable step size adaptive algorithm based on fuzzy control theory is proposed, which can be used in harmonic current detection of active full compensation arc suppression control. The fuzzy inference algorithm is suitable for strong nonlinear and strong instability systems. The adaptive algorithm has good self-learning and self-adjusting ability. The new algorithm proposed in this paper combines the two to achieve the advantages of each other, and solves the traditional LMS algorithm tracking The contradiction between speed and steady-state error not only has faster dynamic response speed, but also maintains a smaller steady-state error, filtering performance is improved, and the calculation is small. Experiments and simulations verify the effectiveness and superiority of this method.