Method and apparatus for intelligent active and semi-active vibration control

摘要

A generalized minimum variance type of control operates on combined optimal and self-tuning control theorems, and is applicable to the design of active, semi-active, and hybrid vibration control systems. The system operates in a multiple-input/multiple-output manner, so when both noise and vibration are important, e.g. interior of a vehicle, the resulting nulling signal will be based on diminishing both vibrations and noise. The system operates by directly nulling primary vibrations, in an active mode, and/or by developing a variable bandwidth mechanical filter, in a semi-active mode, and applying nulling signals accordingly to the vibration source. Artificial intelligence is incorporated into the system to learn on-line the dynamics of the system, e.g. vehicle modal parameters. This intelligence is used to modify decision making in the system, based on results of past performance, without reprogramming or tuning of the system. The system incorporates digital electronic circuitry to convert acceleration and/or audio signals into proper format for the software logic residing in a microprocessor chip. Synchronizing signal is not needed. Hardware used includes a state of the art high power microprocessor, capable of handling sixteen sensory input signals and generating eight output signals. Controlling noise and vibration control in a vehicle, four audio signals from the driver, passenger, and back seat areas, and accelerometer signals from different seat tracks, the steering column, and the floor pan can be input to the microprocessor. Resulting control signals can be two for adjustable front engine mounts, and six for the adjustable body (cradle) mounts. Software resident in memory includes a first program to perform a modal extraction of vibration and/or noise from the sensors, to perform a minimum variance calculation, then to perform an intelligent control calculation based on recorded past performance and on fuzzy logic compensation. Output signals generated and applied to actuators minimize and/or filter the vibration or noise.