Abstract
A practical control scheme of model reference robust control (MRRC) for pneumatic servo system is introduced in this paper. As an important driving element, the pneumatic cylinders are widely used in industrial applications. It is well known the control problem of pneumatic cylinder becomes complex in varying load, travel and environment temperature, because it contains unknown parameters, possible nonlinear uncertainties and additive bound disturbances. The proposed control scheme is essential to achieve the robust stability and good performance for time-varying and nonlinear systems. The controller requires only measured input and output signals of system, rather than the full state feedback. In order to suit for practical application the neural control parameters estimator is led into the controller. Compared with MRAC, it makes the controller become simple.