Finally, an adaptive error compensator is designed to compensate an approximation error of RFNN.
Then a digital controller which is a lag compensator is designed to compensate the system.
Based on the formulas, a method for real-time magnetic compensation is designed to compensate the ferromagnet's moment.
On the basis of identified parameters and Lyapunov stability theory, a backstepping integral adaptive compensator is designed to compensate the nonlinear friction disturbance.
The compensation controller is designed to compensate for the difference between the ideal computational controller and the FNN controller.
The compensation controller is designed to compensate for the difference between the ideal computational controller and the neural controller.
Error compensation method is designed to compensate manufacture error and assembly error by use of the developed 3-points-3-axes measurement method.
An adaptive output recurrent cerebellar model articulation (AORCMAC) is used to copy an ideal backstepping control (IBC), and a compensated controller is designed to compensate for difference between the IBC law and AORCMAC.
The computed torque controller with FNN uncertainty observer is the main tracking controller, and the compensated controller is designed to compensate the minimum approximation error of the uncertainty observer instead of increasing the rules of the FNN.
In this control system, an ABORCMAC is used to copy an ideal backstepping control (IBC), and a compensated controller is designed to compensate for difference between the IBC law and AORCMAC.
The RENN controller is designed to imitate an ideal speed control signal for sensorless PMSM, and the compensated controller is designed to compensate an error between ideal control signal and actual RENN signal, including an RENN reconstruction error.
