Walking on irregular terrain is usually a common task for a quadruped robot. It is however difficult to control the robot in this situation as undesirable impulse force by collision between the foot of robot and obsta...
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In this paper a nonlinear attitude tracking control scheme is developed for a small-scaled unmanned helicopter under input constraints. Via the analysis of the properties associated with the helicopter's rotor dyn...
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ISBN:
(纸本)9781479932757
In this paper a nonlinear attitude tracking control scheme is developed for a small-scaled unmanned helicopter under input constraints. Via the analysis of the properties associated with the helicopter's rotor dynamics, the elevator servo input, the aileron servo input, and the rudder servo input are chosen to be the control inputs to be designed. Their constraints in amplitude under hovering flight is taken into account by using the robust bounded terms in the controller design. The asymptotic convergence of the tracking error is guaranteed with the Lyapunov-based stability analysis.
In this paper, the problem for the control of a class of single-input-single-output (SISO) non-affine nonlinear system with non-varnishing disturbance is investigated. A continuous nonlinear feedback structure is util...
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ISBN:
(纸本)9781479932757
In this paper, the problem for the control of a class of single-input-single-output (SISO) non-affine nonlinear system with non-varnishing disturbance is investigated. A continuous nonlinear feedback structure is utilized to tackle with the uncertain dynamics in the system. By taking the time derivative of the origin system, a transformed affine-like form is derived. The first order derivative of control input appears linearly in the augmented dynamics with unknown control direction. Nussbaum-type function is incorporated to estimate the unknown control direction. A revised Lyapunov based analysis is carried out to prove that under some moderate assumptions, the Semi-global Uniformly Ultimately Bounded (SGUUB) tracking result is achieved and all the closed loop signals are bounded. Numerical simulation results are presented to illustrate the performance of the proposed control law.
In this paper, a PD controller which uses optical flow to obtain position and velocity feedback is proposed for the autonomous hovering flight control of a nano quadrotor unmanned aerial vehicle (UAV). The nano quadro...
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In this paper, a PD controller which uses optical flow to obtain position and velocity feedback is proposed for the autonomous hovering flight control of a nano quadrotor unmanned aerial vehicle (UAV). The nano quadrotor UAV has a mass less than 100 g and is comparatively much smaller than the micro vehicles utilized in previous research. Due to the limited size and payload ability, a wireless camera is employed as the onboard visual device to obtain the position and translational velocity of the UAV. Experiment results are included to demonstrate the good control performance of the proposed design.
This paper presents an improved method to teleoperate impedance of a robot based on surface electromyography (EMG) and test it experimentally. Based on a linear mapping between EMG amplitude and stiffness, an incremen...
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This paper presents a new method to estimate rotor position indirectly for 12/8 switched reluctance motor (SRM). In this method, searching windings and main windings are wound on stator together. The structure of sear...
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This paper presents a new method to estimate rotor position indirectly for 12/8 switched reluctance motor (SRM). In this method, searching windings and main windings are wound on stator together. The structure of searching windings is designed to reduce induced voltages caused by main windings. High frequency voltage is applied to searching windings and the position signal is derived from induced high frequency signals. High frequency voltage can be injected from standstill to high speed in this method, thus it can operate in a wide speed range. The proposed method is implemented on a 12/8 SRM and the experimental results demonstrate the validity of this method.
Rotating stall and surge are important and challenging problems in the area of axial compressors. This paper presents an approach for approximately accurate modeling and rapid detection of stall precursors based on de...
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With the rapid growth of wind energy installed capacity, optimized maintenance has gained increasingly attentions from both researchers and wind farm owners. Condition-based maintenance (CBM) has been introduced to th...
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This paper deals with the finite-time stability and stabilization for continuous-time linear stochastic time-varying systems. Several necessary and sufficient conditions and a sufficient condition for finite-time stab...
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This paper deals with the finite-time stability and stabilization for continuous-time linear stochastic time-varying systems. Several necessary and sufficient conditions and a sufficient condition for finite-time stability are derived. Moreover,a sufficient condition for the existence of state feedback controller is given. Such results involve the feasibility problems of differential linear matrix inequalities with terminal constraint.
Solar tower power plant is the widest market prospect type in large-scale solar power plants during the next decades. Heliostats are the most important components in this system. To solve the problems in the sun-track...
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Solar tower power plant is the widest market prospect type in large-scale solar power plants during the next decades. Heliostats are the most important components in this system. To solve the problems in the sun-tracking, concentrating control and low dynamic precision of the heliostat clusters system, the nonlinear kinematical model of a heliostat is developed based on analysis of the two-axis rotation sun-tracking mechanism and property. The motion trajectory information of a single heliostat is sampled by using a sun's image reference system combined with machine vision-based method. Nonlinear optimization is proposed to get the best sun's image fitting to achieve the heliostat model parameters automatic intelligent calibration, which overcome the sun-tracking and concentrating precision drift caused by mechanical wears of the heliostat, the environmental and seasonal variations and achieve the high focusing rate and high efficiency of the energy collecting of the large-scale heliostat clusters. The effectiveness of proposed modeling, calibration, and control theory of heliostats are verified through theoretical simulation and experimental researches.
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