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General fuzzy controller in the control rules to determine the need, after adjustment, time-consuming and laborious; with a correction factor of fuzzy controller to change the correction factor, the entire control of the table almost affected, would make some point to meet the control requirement has led to some point does not meet the requirements. To solve these problems, proposed a new type of...
The dynamic equations of a quadrotor unmanned aerial vehicle (UAV), namely Qball-X4, are analyzed and built, trajectory tracking control design based on an inner/outer loop control structure is proposed in this paper. The method of analytic geometry is used in dead-reckoning, discrete Kalman filter has been applied to trajectory tracking for improving the accuracy of estimated location. Integrated...
A fuzzy neural network disturbance observer (FNNDO) is developed and a backstepping adaptive control approach combined with FNNDO is presented for a general class of strict-feedback nonlinear systems with a wide class of uncertainties that are not linearly parameterized and do not have any prior knowledge of the bounding functions. FNNDO is used to approximate the unknown uncertainties online, and...
In order to improve the lateral stability of the vehicles at a high speed, a DYC control method is applied to four-wheel steering vehicle control. Through model tracking method, a feedback controller which used direct yaw moment as the controlled output based on fuzzy control theory is designed, meanwhile, classic 4WS control as a feed forward is used to improve the system dynamic response. Several...
A robust and adaptive hybrid control strategy is presented for the aerospace vehicle (ASV) with violent changes of aero-dynamics parameters and external disturbance. To achieve high precision, a novel fuzzy disturbance observer is employed to compensate for the unknown uncertainty. Backstepping method is used to design the sliding surface and then a variable structure controller is obtained. All signals...
Predictive control algorithm had been developed rapidly and successfully used in the industrial production practice from the 20th century 70's until now, and the generalized predictive control (GPC) algorithm had been gotten well control effect to the linear or weak nonlinear systems. But there were still difficulties to construct many steps predictive models and its control rules for the strong nonlinear...
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