Sensorless Control with Kalman Filter in an Active Engine Mount System

Abstract

An active engine mount (AEM) system presented in this paper used to isolate the engine vibration to the chassis and to minimize the effect of such disturbances in the passenger cabin, besides supporting the static load by an engine weight. To accomplish this goal, a feed forward control algorithm will be employed in the currently developed AEM system. The engine mount system developed up to date uses sensors to measure the current states of engine vibration. However, it is expensive to use sensors in the engine mount system, and cutting down the number of sensors provides a major cost reduction. The Kalman filter has a good dynamic behavior and disturbance resistance, and it can work even in a discontinuous position. A procedure for selecting an optimal integral gain will be proposed, and the proposed estimator will be compared to the well-known passivity-based state estimator.