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Extending a Combination of Map-based and Adaptive Feedforward Control Algorithms for Active Noise Cancellation

被引：0
|
作者：
Schubert, Dominik [1 ]
Gaerner, Felix [2 ]
Hecker, Simon [2 ]
Sentpali, Stefan [1 ]
Buss, Martin [3 ]
机构：
[1] Univ Appl Sci Munich, Dept Mech Engn, Munich, Germany
[2] Univ Appl Sci Munich, Dept Elect Engn & Informat Technol, Munich, Germany
[3] Tech Univ Munich, Chair Automat Control Engn, Munich, Germany
来源：
2019 3RD IEEE CONFERENCE ON CONTROL TECHNOLOGY AND APPLICATIONS (IEEE CCTA 2019) | 2019年
关键词：
D O I：
10.1109/ccta.2019.8920424
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In order to reduce tonal orders of a combustion engine with electrical drives as acoustical actuators, a parallel control structure for active noise cancellation (ANC) applications is used. It consists of map-based and adaptive feedforward control algorithms to reduce the convergence time and improve the tracking behavior during fast changes of the disturbing motor order. This paper describes two extensions of the parallel control structure. First, a method to improve the noise reduction during the adaption process is proposed. Second, a method is described to constrain the filter weights of the parallel control structure to avoid nonlinear distortions due to output constraints.
引用
收藏
页码：883 / 888
页数：6
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