Abstract: A method for automatically minimizing an undesirable motion of a workpiece during a machining operation, and a universal adaptive machining chatter control fixture that operates in accordance with the method. The method comprises the steps of mounting the workpiece to an active, supporting structure, and then machining the workpiece. During the step of machining, an undesirable motion of the workpiece is sensed in the supporting structure. Thereafter, a compensating motion is applied to the supporting structure for minimizing the undesirable motion of the workpiece. The chatter control fixture can be attached to various types of machine tool devices, without requiring that the machine tool devices be retrofitted, and operates to minimize undesirable motions of the workpiece independently of the machine tool devices.

Abstract: A neural network based control system includes a nominal control system augmented by adaptive control such as a neuro-controller which generates additional compensating control signals based on differences between a model and actual system output. The nominal control system provides basic stability and performance, while the adaptive controller provides performance enhancement. The adaptive control can rely on any neural network that can encode a-priori knowledge and employs a high resolution pattern discrimination capability suitable for real-time changes. To prevent unbounded adaptation, the output of the adaptive controller is constrained by a limiter, thus ensuring safety of the overall system.