Page 990 - The Mechatronics Handbook

FIGURE 33.16 FIS Editor for fuzzy system based on MAMDANI inference.

FIGURE 33.17 Membership function associated to the inputs.
For this fuzzy controller there were chosen nine inference rules, which could be visualized using the
Inference Rules Editor of SIMULINK. Several simulation results of electrohydraulic axes obtained with
the proposed fuzzy controller are shown in Figs. 33.18 and 33.19 and depict graphically the position and
the velocity of the cylinder.

33.6 Neural Techniques Used to Control
the Electrohydraulic Axis

Section 33.6 has as its goals: to emphasize MATLAB’s possibilities of using its resources in order to design
control systems based on advanced control techniques such as neural networks; to test through simulation
these neural algorithms; and to verify performances of the neural control architecture applied to the
studied electrohydraulic axis.
There are two main research directions involved in the neural control. One of these implies the
developing of one controller going from a neural network, and the other one embeds several controllers

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