Quadrotors are growing rapidly in popularity for use as platforms for robotics research worldwide. This paper describes the development of a robust model reference adaptive controller to a quadrotor unmanned aerial vehicle. Some signi cant characteristics of the system's dynamics are derived for system uncertainties in the case of partial actuator failures. A comparison between the adaptive con...

A high-performance robust hybrid speed controller of permanent-magnet synchronous motor (PMSM) drive with on-line trained neural-network model-following controller (NNMFC) is proposed. The robust hybrid controller is a two-degrees-of-freedom (2DOF) integral plus proportional & rate feedback (I-PD) with neuralnetwork model-following (NNMFC) speed controller (2DOF I-PD NNMFC). The robust controll...

in this paper, a robust integral of the sign error (rise) feedback controller is designed for a rigid-link electrically driven (rled) robot manipulator actuated by direct current dc motor in presence of parametric uncertainties and additive disturbances. rise feedback with implicitly learning capability is a continuous control method based on the lyapunov stability analysis to compensate an add...

to enhance the closed loop performance in presence of disturbance, uncertainties and delay a double loop mixture of mpc and robust controller is proposed. this double loop controller ensures smooth tracking for a 3-axis gyro-stabilized platform which has delay intrinsically. this control idea is suggested to eliminate high frequency disturbances and minimize steady state error with minimum powe...

The paper presents a practical robust controller design methodology based on recent theoretical results on minimax LQG control. This controller design methodology is illustrated with the design of a robust feedback controller for the control of vibrations in a flexible cantilever beam. The minimax LQG control approach is used to design a controller which minimizes the total vibration energy in ...

Using insights gained from the robust MPC design of (Rosander et al., 2011) an explicit robustly optimal controller is derived using the Euclidean norm as measure of flow smoothness. The derived controller gives a lower bound on the achievable filtering performance for any controller that mimic the behavior of the robust MPC controller.

A anti-slug control requires operation around an open-loop unstable operating point. One solution is to design a robust controller based on a mechanistic model. An alternative and more robust approach is to identify an unstable model of the system based on input-output data. We used a closed-loop step test to identify an unstable linear model. From this, we obtained a second order IMC (Internal...

Robust control design of vehicles addresses the effect of uncertainties on the vehicle’s performance. In present study, the robust optimal multi-objective controller design on a non-linear full vehicle dynamic model with 8-degrees of freedom having parameter with probabilistic uncertainty considering two simultaneous conflicting objective functions has been made to prevent the rollover. The obj...

A robust speed control technique for permanent-magnet synchronous motor (PMSM) drives is proposed in this paper for electric vehicle applications. The robust controller consists of a neural-network controller (NNC) in the speed feed-back loop in addition to an on-line trained neural-network model-following controller (NNMFC) in the feedforward loop. The adaptive neural-network model-following c...