Input energy minimization with acoustic potential energy constraint for active noise control system

被引:4
作者
Jeong, Ikchae [1 ]
Park, Youngjin [1 ,2 ]
机构
[1] Korea Adv Inst Sci & Technol, Dept Mech Engn, Daejeon, South Korea
[2] Dept Mech Engn, KAIST, Daejeon 34141, South Korea
基金
新加坡国家研究基金会;
关键词
active noise control; constrained optimization; control effort; degree of disturbance rejectability; input energy minimization; PERSONAL AUDIO; LMS ALGORITHM; CONTROLLABILITY; OBSERVABILITY; FXLMS; ROBUSTNESS; ZONE;
D O I
10.1177/10775463241227477
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
In this paper, a performance measure of input energy minimization with acoustic potential energy constraint for active noise control (ANC) system was proposed. Making the control area as "quiet zone" can increase the acoustic energy of the remaining area outside the control area, which are undesirable. By reducing the input energy with a reduction loss in the control area, noise increase in the remaining area can be minimized. Conventional input energy minimization measures, degree of controllability (DOC) and degree of disturbance rejectability (DODR) are defined only for systems that satisfy controllability. Most distributed parameter systems, such as ANC systems, cannot satisfy controllability. Therefore, it is impossible to define the input energy measure for an ANC system using existing methods. Here, a new concept of DODR for an ANC system was proposed. This measure has a physical meaning of minimum input energy under the condition that the acoustic potential energy is less than or equal to a desired acoustic potential energy. The DODR measure can be used to select the sensor and actuator combination with the same noise reduction performance in the control area but with the smallest input energy needed. A numerical example shows the usefulness of the proposed measure of DODR for the ANC system.
引用
收藏
页码:444 / 456
页数:13
相关论文
共 36 条
[1]  
Avetisyan AS., 2018, CONTROLLABILITY DYNA
[2]   Boundary control of the Maxwell dynamical system: Lack of controllability by topological reasons [J].
Belishev, M ;
Glasman, A .
ESAIM-CONTROL OPTIMISATION AND CALCULUS OF VARIATIONS, 2000, 5 :207-217
[3]   ON THE CONTROLLABILITY OF THE IMPROVED BOUSSINESQ EQUATION [J].
Cerpa, Eduardo ;
Crepeau, Emmanuelle .
SIAM JOURNAL ON CONTROL AND OPTIMIZATION, 2018, 56 (04) :3035-3049
[4]   Generation of an acoustically bright zone with an illuminated region using multiple sources [J].
Choi, JW ;
Kim, YH .
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 2002, 111 (04) :1695-1700
[5]  
Chong EK., 2013, An Introduction to Optimization
[6]   Acoustic contrast, planarity and robustness of sound zone methods using a circular loudspeaker array [J].
Coleman, Philip ;
Jackson, Philip J. B. ;
Olik, Marek ;
Moller, Martin ;
Olsen, Martin ;
Pedersen, Jan Abildgaard .
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 2014, 135 (04) :1929-1940
[7]   Stochastic analysis of the filtered-X LMS algorithm in systems with nonlinear secondary paths [J].
Costa, MH ;
Bermudez, JCM ;
Bershad, NJ .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2002, 50 (06) :1327-1342
[8]  
Curtain RF., 2012, An Introduction to Infinite-Dimensional Linear Systems Theory, V21
[9]   Effort constraints in adaptive feedforward control [J].
Elliott, SJ ;
Baek, KH .
IEEE SIGNAL PROCESSING LETTERS, 1996, 3 (01) :7-9
[10]   Robustness and Regularization of Personal Audio Systems [J].
Elliott, Stephen J. ;
Cheer, Jordan ;
Choi, Jung-Woo ;
Kim, Youngtae .
IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2012, 20 (07) :2123-2133