Design of a frequency-shaped second-order sliding mode (FS2SM) controller is demonstrated by means of exploiting second-order low-pass filter (LPF) to model the dynamic sliding surface to shape the frequency character...
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Design of a frequency-shaped second-order sliding mode (FS2SM) controller is demonstrated by means of exploiting second-order low-pass filter (LPF) to model the dynamic sliding surface to shape the frequency characteristics of the equivalent dynamics. the proposed technique is numerically verified in the simulation of a half-car model (HCM) with inbuilt active hydraulically interconnected suspension (HIS) system. the closed-loop performances confirm that inclusion of an appropriate filter in the control scheme allows not only to reduce the roll angle but also its spectrum can be shaped.
this paper studies a multi-agent formation control problem under a leader-follower framework, where the agents are governed by double-integrator dynamics and the objective is to achieve a formation with desired shape ...
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this paper studies a multi-agent formation control problem under a leader-follower framework, where the agents are governed by double-integrator dynamics and the objective is to achieve a formation with desired shape and a specified size. Firstly, a distributed control algorithm is developed for the leaders to achieve a desired distance. then, by combining the control law for the leaders and a relative position estimation based control law for the followers, an estimation based formation control algorithm is developed for the entire multi-agent system to asymptotically achieve a formation with desired shape and a specified size in the case without initial relative position estimation errors and approximately attain the desired formation in the case with initial relative position initial estimation errors. Simulation results are provided to validate the proposed algorithm.
In this paper, a fault tolerant controller is developed for loss of effectiveness actuator faults in differential drive mobile robots. Based on the extended Kalman filter technique, a joint parameter and state estimat...
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In this paper, a fault tolerant controller is developed for loss of effectiveness actuator faults in differential drive mobile robots. Based on the extended Kalman filter technique, a joint parameter and state estimation method is used to estimate the actuator loss of effectiveness gains as the parameters of the system. the estimated gains are then used in the controller to compensate the effect of actuator faults. Moreover, a fault tolerant leader-follower controller is developed to control multiple robots moving on a desired trajectory in a formation in the presence of actuator faults in leader or followers. the proposed method is implemented on Qbot-2 and its performance is experimentally validated.
In this paper, the leader-following consensus problem of multiple uncertain Euler-Lagrange systems is studied by developing a new adaptive distributed control law based on sensory feedback. In comparison with existing...
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In this paper, the leader-following consensus problem of multiple uncertain Euler-Lagrange systems is studied by developing a new adaptive distributed control law based on sensory feedback. In comparison with existing results, the developed distributed control law depends on the relative position of the Euler-Lagrange systems instead of the relative internal state of the controller. In the case that all systems are only equipped with sensors rather than communication devices, the developed distributed control law shows its distinct advantage. Moreover, the communication cost can be reduced by the new adaptive control law. the effectiveness of the main result is demonstrated by its application to cooperative control of multiple two-link robot arms.
In servo motor positioning control, when the load changes, readjustment of the control gain must be performed. In this paper, with stabilization of servo adjustment due to load fluctuation in mind as well as convenien...
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In servo motor positioning control, when the load changes, readjustment of the control gain must be performed. In this paper, with stabilization of servo adjustment due to load fluctuation in mind as well as convenience, based on simple adaptive control which is relatively simple structure and easy to realize even in adaptive control, while saving the trouble of adaptive gain adjustment we study a control method. In this study, simulation analysis was performed using MATLAB / Simulink to controlthe position of the Servo Motor. First, using the integral adaptive adjustment rule which is the most basic adaptive adjustment rule among Simple Adaptive control, simulation was carried out next using integral + proportional type adaptive adjustment rule.
In this paper, we present a novel three-stream deep feature fusion technique to recognize interaction-level human activities from a first-person viewpoint. Specifically, the proposed approach distinguishes human motio...
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ISBN:
(纸本)9781538670804;9788993215168
In this paper, we present a novel three-stream deep feature fusion technique to recognize interaction-level human activities from a first-person viewpoint. Specifically, the proposed approach distinguishes human motion and camera ego-motion to focus on human's movement. the features of human and camera ego-motion information are extracted from the three-stream architecture. these features are fused by considering a relationship of human action and camera ego-motion. To validate the effectiveness of our approach, we perform experiments on UTKinect-FirstPerson dataset, and achieve state-of-the-art performance.
In this paper, we propose a person carrier robot for the movement of people with blindness and injured lower body in the building. Visually impaired people are unfamiliar withthe structure of the building for the fir...
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ISBN:
(纸本)9781538670804;9788993215168
In this paper, we propose a person carrier robot for the movement of people with blindness and injured lower body in the building. Visually impaired people are unfamiliar withthe structure of the building for the first time, so there is a high risk of accidents when moving. Likewise, patients suffering from lower body injuries are more uncomfortable to move than normal people, and therefore, there are many difficulties in moving. To solve this problem, we propose a robot that creates a building map, moves to a destination, and detects obstacles. Hector SLAM is used to map buildings, calculation of odometry when person carrier robot is moving, USB camera and Robust Salient Detection for object detection.
We represent adaptive Kalman filter which combines advantages of fast output inertial navigation and slow image based absolute navigation algorithm. In the feature matching process of the scene-matching algorithm, the...
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ISBN:
(纸本)9781538670804;9788993215168
We represent adaptive Kalman filter which combines advantages of fast output inertial navigation and slow image based absolute navigation algorithm. In the feature matching process of the scene-matching algorithm, the outliers occasionally occur, resulting in the problem that the state variables of the Kalman filter diverge due to the mismatched improper navigation results. Since this can lead to a very dangerous situation in the navigation system, we propose an adaptive Kalman filter algorithm to solve this problem. the proposed algorithm uses the residual, which is the difference between the measured value and the model, as a judgment variable and does not use the measured value when the threshold value is exceeded. the performance of the proposed algorithm is verified by using flight data.
this paper addresses the trajectory tracking problem of a 2D caged flying robot in contact with a wall. To simplify the contact problem, the models are constructed on a vertical two-dimensional plane, and our objectiv...
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ISBN:
(纸本)9781538670804;9788993215168
this paper addresses the trajectory tracking problem of a 2D caged flying robot in contact with a wall. To simplify the contact problem, the models are constructed on a vertical two-dimensional plane, and our objective is to let the quadrotor hover or move along the wall with arbitrary velocity and attitude. the control law is derived using the Lyapunov stability theory, applying backstepping techniques to achieve exponential stability under mild assumptions. To overcome the unknown friction force between robot and wall, we design estimators for the friction coefficient, which include a projection operator that provides an upper bound for the obtained estimates. Realistic simulation results are provided to validate the proposed methodology.
the present paper presentes the tuning of a Fractional Order Proportional Integral (FOPI) controller for second-order-plus-time-delay (SOPDT) plants. the tuning procedure is based on imposing frequency domain constrai...
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the present paper presentes the tuning of a Fractional Order Proportional Integral (FOPI) controller for second-order-plus-time-delay (SOPDT) plants. the tuning procedure is based on imposing frequency domain constraints for the open loop system withthe FOPI controller and the SOPDT plant. the gain crossover frequency, phase margin and the iso-damping property that guarantees a certain degree of robustness to gain variations are imposed in order to obtain the parameters of the fractional order controller. the proposed method is validated by real life implementation on a process whose dynamics are approximated to a SOPDT model. the settling time, steady state error, robustness and disturbance rejection capabilities are analyzed using experimental test cases.
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