MOV-Modified-FxLMS algorithm with Variable Penalty Factor in a Practical Power Output Constrained Active Control System

Practical Active Noise Control (ANC) systems typically require a restriction in their maximum output power, to prevent overdriving the loudspeaker and causing system instability. Recently, minimum variance filtered-reference least mean square (MOV-FxLMS) algorithm was shown have optimal control under constraint with an analytically formulated penalty factor, but it needs offline knowledge of disturbance power secondary path gain. The constant factor MOV-FxLMS is also susceptible variations that could cause violations. This paper presents new variable utilizes estimated established Modified-FxLMS (MFxLMS) algorithm, resulting computationally efficient MOV-MFxLMS can adapt changes levels real-time. Numerical simulation real noise plant response showed always manages meet its despite sudden whereas fixed has suffered from mismatch.