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This paper presents a speed and flux estimation method for speed control of three-phase AC motors in robot manipulators. Furthermore, we find how to combine the speed and flux estimation method with the control algorithm of the speed and flux using artificial neural network (ANN) to enhance the performance of AC motors when there are uncertain parameters in the motor's dynamic model such as rotor...
In this paper, a nonlinear speed control scheme which combines nonlinear optimal controller, nonlinear disturbance observer and adaptive kalman filter is proposed for Magnetically Suspend Flywheel (MSFW). Firstly, in order to improve the dynamic and steady-stage performances of motor driving system, the state feedback exact linearization model of BUCK converter is derived, and a nonlinear optimal...
Two time-scale model based adaptive control method is proposed for a helicopter to overcome wind disturbances in this paper. Wind disturbances are considered as a mixture of four sinusoidal signals with unknown frequencies, amplitudes and phases. The controller is designed based on the concept of time-scale separation, which has the advantage of decoupling of the rotational and translational dynamics...
Rotor flying manipulator (RFM) is a system composed of a rotorcraft and a manipulator. RFM possesses great potential applications and thus has got much concern of the researchers all over the world. However, controller design of the RFM is challenging because of the dynamical coupling between the rotorcraft and the manipulator perplexes the whole system model structure, so the flight performance of...
This paper studies dynamic behavior of a quadrotor in both simulation and experiment when tracking desired attitude angles. The flight attitude control implemented in this research is designed based on a feedback control with an inner-loop structure as in the Aeroquad project. The feedback control configuration is applied to the dynamic model of a DIY qaudrotor UAV to simulate its attitude tracking...
In this paper, a scale-corrected minimal skew simplex sampling UKF algorithm for BLDCM sensorless control has been studied to cancel the position sensor by use of a systematical, analytical approach. Compared with general UKF, to reduce amount of computation and increase the estimation precision, the sampling method with the least Sigma points called minimal skew simplex sampling is adopted. Moreover,...
Fire extinguishment approaches with inert gases such as carbon dioxide (CO2) and nitrogen (N2) have several advantages compared with ones with water. On the other hand, they have low extinguishment performance and put lives at risk. To enhance the extinguishment performance and to reduce risk to life, the authors have proposed a robotic fire extinguishment approach and a prototype of an aerial extinguisher...
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