Extended filtered-x-least-mean-squares algorithm for an active control engine mount based on acceleration error signal

Active control engine mounts notably contribute to ensuring superior effectiveness in vibration suppression. The filtered- x-least-mean-squares algorithm, as a benchmark, is widely implemented for cancelation of disturbing engine vibrations. Such an algorithm requires an accurate secondary path estimate to ensure better performance. This study illustrates that incorporating body input point inertance to the active control engine mount model is necessary when accelerometers are utilized in most practical applications. Secondary path estimation errors caused by neglecting body input point inertance are pointed out via the secondary path modeling mismatch theory. Furthermore, the active control engine mount control system is evolved to fit the acceleration transducer applications. On the basis of the improved active control engine mount control system, a novel extended filtered-x-least-mean-squares algorithm based on the acceleration error signal is proposed to adapt to the extended control system. In the end, severe control collapse of secondary path estimation errors caused by neglecting body input point inertance is verified through simulation. Simulated results are presented to validate the performance of the extended filtered-x-least-mean-squares algorithm based on the acceleration error signal. The study demonstrates that the algorithm produces results showing effective vibration isolation.