Adaptive Inverse Control Research And Its Application In Active Noise Control

The paper studies the adaptive algorithm and structure of adaptive inverse control. It improves the original adaptive inverse control and then brings forward some new adaptive inverse control methods to enhance the tracking performance and convergence velocity. The paper gives the application of adaptive inverse control in active noise control. According to its traits, a new noise control strategy is provided.Firstly, fuzzy control is introduced to the classical Adaptive inverse control theory to realize a controller varied with time in convergence process. Fuzzy control improves the performance of LMS algorithm and resolves the contradiction between convergence velocity and misadjustment which is brought by fixed step factor.Secondly, an adaptive inverse control methods with adaptive IIR filter as controller is researched. Also an adaptive inverse control structure based on filtered-U LMS algorithm is given. It markedly reduces the computation of adaptive algorithm. And furthermore it enhances the adjustment precision. It has perfect tracking performance towards the output of reference model. So it has much practicality and widen the application area of adaptive inverse control. Finally, the adaptive inverse control methods based on filtered-U LMS algorithm is used in active noise control. At the same time its performance is compared with the traditional one. The result proves the superiority of adaptive inverse control. In addition the adaptive algorithm of separable controller is emphatically educed. Adaptive inverse control structure with separable controller is adopted. The result of simulation in matlab is satisfactory.