Title :
Offset-free combined neural network/switching control for nonlinear servomechanisms with DSP-based implementation
Author :
Lee, T.H. ; Low, T.S. ; Xu, J.X. ; Lim, H.K.
Author_Institution :
Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore
fDate :
2/1/1995 12:00:00 AM
Abstract :
In this paper, we present a combined neural network/switching controller which is shown to provide offset-free regulation and control in the presence of disturbances. The controller is applicable to nonlinear servomechanisms of the type commonly encountered in motion control. In the paper, the properties of the controller are discussed and the implementation of the overall control system using a microcomputer host with a digital signal processor (DSP) accelerator is described. The paper also includes the results of real-time experiments in applying the proposed controller for position control of a nonlinear servomechanism which provides experimental verification of the effectiveness of the proposed method
Keywords :
control engineering computing; control system synthesis; controllers; digital signal processing chips; microcomputer applications; motion control; neural nets; position control; servomechanisms; switching; DSP-based implementation; digital signal processor accelerator; microcomputer host; motion control; neural network; nonlinear servomechanisms; offset-free regulation; position control; switching control; Control systems; Digital signal processing; Digital signal processors; Microcomputers; Motion control; Neural networks; Nonlinear control systems; Nonlinear dynamical systems; Position control; Servomechanisms;
Journal_Title :
Industrial Electronics, IEEE Transactions on