论文信息 - Neural network adaptive sliding mode control and its application to SCARA type robot manipulator

Neural network adaptive sliding mode control and its application to SCARA type robot manipulator

A synergistic combination of neural networks with sliding mode control is proposed. As a result, the chattering is eliminated and error performance of SMC is improved. In such an approach, the determination of the structure of NN, i.e. number of layers, number of neurons at each layer, etc. does not come up as a problem because these are directly related to the SMC. A Lyapunov function is selected for the design of the SMC and gradient descent is used for weight adaptation of the neural network. The criterion that is minimized for gain adaptation is selected as the sum of the squares of the control signal and the sliding function. This novel approach is applied to control of a SCARA type robot manipulator and simulation results are given.

Okyay Kaynak | Meliksah Ertugrul

[1] Weiping Li,et al. Applied Nonlinear Control , 1991 .

[2] John Y. Hung,et al. Variable structure control: a survey , 1993, IEEE Trans. Ind. Electron..

[3] Okyay Kaynak,et al. Provident control of an electro-hydraulic servo with experimental results , 1996 .

[4] J. J. Slotine,et al. Tracking control of non-linear systems using sliding surfaces with application to robot manipulators , 1983, 1983 American Control Conference.

[5] O. Kaynak,et al. A new variable structure controller for affine nonlinear systems with non-matching uncertainties , 1995 .

[6] Vadim I. Utkin,et al. Sliding Modes in Control and Optimization , 1992, Communications and Control Engineering Series.

[7] O. Kaynak,et al. A generalized approach for Lyapunov design of sliding mode controllers for motion control applications , 1996, Proceedings of 4th IEEE International Workshop on Advanced Motion Control - AMC '96 - MIE.