To improve the control accuracy of brushed DC motor at low speeds
a novel control system using disturbance observer and sliding mode control is developed. It aims at compensating the nonlinear friction and load disturbances. First
since the friction changes fast with the variation of motor speed
it is very difficult to estimate it online. Therefore
the Stribeck friction model is used for computing the friction
and the parameters of this model are identified offline. Then
a disturbance observer is designed for estimating the model errors and load disturbances. It is proved that the estimated errors can converge to a prescribed range after a finite time. Finally
the estimated errors are taken as the amplitude bounded disturbance inputs
and an adaptive slide mode controller is designed to guarantee the robustness of this system. The switching gain estimated by the adaptive technique is just related to the upper bounds of the estimated errors
therefore
the demand of high-gain feedback for high accuracy is avoided since the switching gain is reduced with this method. The designed controller is evaluated through experimental tests. Compared with the PI and traditional slide-mode control methods
the steady-state output error of this controller is reduced to 46% and 63% of the two methods' errors
respectively; its response time is 0.15 s
and the input chattering is also reduced. It shows that the designed controller could effectively suppress the effects of the friction and load disturbances on the control over the brushed DC motor.
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