A technique to allow the control to automatically compensate for changes in system parameters such as load variations.
A method by which input from sensors automatically and continuously adjusts in an attempt to provide near optimum processing conditions. In cyclic processes such as injection molding, this means adjusting the process with data from one cycle for the next cycle. This algorithm assumes a process trend. The technique should not be used in a process under statistical control.
A sytem that can modify its behaviour in response to changes in the dynamics of the process and the character of the disturbances.
A control system which adjusts its response to its inputs based on its previous experience.
1) The ability of a control system to change its own parameters in response to a measured change in operating conditions. 2) Machine control units in which feeds and/or speeds are not fixed. The control unit, working from feedback sensors, is able to optimize favorable situations by automatically increasing or decreasing the machining parameters. This process ensures optimum tool life or surface finish and/or machining costs or production rates.
Adaptive control involves modifying the control law used by a controller to cope with the fact that the parameters of the system being controlled are slowly time-varying or uncertain. For example, as an aircraft flies, its mass will slowly decrease as a result of fuel consumption; we need a control law that adapts itself to such changing conditions. Adaptive control is different from robust control in the sense that it does not need a priori information about the bounds on these uncertain or time-varying parameters; robust control guarantees that if the changes are within given bounds the control law need not be changed, while adaptive control is precisely concerned with control law changes.