In this paper we provide an example of application of the design of a control law that makes use of an enhanced version of the so-called extended observer. The enhancement in question reposes on the extension of a cla...
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In this paper we provide an example of application of the design of a control law that makes use of an enhanced version of the so-called extended observer. The enhancement in question reposes on the extension of a classical Lemma due to Dayawansa to the case of nonlinear systems whose normal form includes time-varying (and measurable) gains. The presented example concerns a station-keeping problem of a quadrotor with unmeasurable pitch and roll angles.
The problem of estimating constant parameters from a standard vector linear regression equation in the absence of sufficient excitation in the regressor is addressed. The first step to solve the problem consists in tr...
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This paper proposes a new chattering-free Fixed-time Observer-Based Sliding Mode control (FOBSMC) scheme for synchronization of two bilateral teleoperations under unknown time-varying delay. The system is subjected to...
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Advanced prediction technologies have enabled model predictive control (MPC) to be a potential powerful method for controlling wind turbines (WTs). However, the MPC technique available for the yaw control system of WT...
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Advanced prediction technologies have enabled model predictive control (MPC) to be a potential powerful method for controlling wind turbines (WTs). However, the MPC technique available for the yaw control system of WTs is lacking. In this study, we propose a novel MPC using finite control set and multi-step prediction models for the yaw control system and solve the optimal problem using an exhaustive search method. Then, the proposed method is demonstrated by the simulation tests and the achievable performance of the yaw control system under different prediction horizons is investigated. Finally, our results show that, along with the extended prediction horizon, the power production performance is enhanced while maintaining the same yaw actuator usage.
This paper presents an analysis of feasibility to develop a robust, practical and versatile test-bed for rotordynamic tests with low-cost and user-oriented features. The experience of a particular case of a test-bed d...
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Visual odometry is an essential problem for mobile robots. Traditional methods for solving VO mostly utilize geometric optimization. While capable of achieving high accuracy, these methods require accurate sensor cali...
Visual odometry is an essential problem for mobile robots. Traditional methods for solving VO mostly utilize geometric optimization. While capable of achieving high accuracy, these methods require accurate sensor calibration and complicated parameter tuning to work well in practice. With the rise of deep learning, there has been increased interest in the end-to-end, learning-based methods for VO, which have the potential to improve robustness. However, learning-based methods for VO so far are less accurate than geometric methods. We argue that one of the main issues is that the current ego-motion estimation task is different from other problems where deep learning has been successful such as object detection. We define a novel cost function for learning-based VO considering the mathematical properties of the group homomorphism. In addition to the standard L2 loss, we incorporate losses based on the identity, inverse and closure properties of SE(3) rigid motion. Furthermore, we propose to reduce the VO drift by estimating the drivable regions using semantic segmentation and incorporate this information into a pose graph optimization. Experiments on KITTI datasets show that the novel cost function can improve ego-motion estimation compared to the state-of-the-art and the drivable region-based correction further reduces the VO drift.
The paper presents the control design approaches for the European research project FLEXOP. The ultimate goal is to develop and apply active flutter suppression and load alleviation techniques on an unmanned flying air...
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Active prosthetic devices have been controlled using several methods such as Echo control, EMG signal based Position control and Finite State Machine (FSM) based Impedance/Compliance control. This manuscript proposes ...
Active prosthetic devices have been controlled using several methods such as Echo control, EMG signal based Position control and Finite State Machine (FSM) based Impedance/Compliance control. This manuscript proposes Virtual Constraint control of active prosthesis which obviates any need for the classification of EMG signals, identification of the gait phase for state switching and potentially avoids an exhaustive procedure for the tuning of impedance parameters. In this paper, a Discrete Fourier Transform (DFT) based Virtual Constraint control is presented to characterize the ankle-foot joint trajectory as a function of the human-inspired phase variable in a unified manner. An optimization-based algorithm is employed for the robust generation of continuously monotonic and linear phase variable for DFT based Virtual Constraint control. The results are generalized across various walking speeds for a specific user during the level ground walking.
This paper, inspired by a real production process of steel hardening, investigates a scheduling problem to minimize the idle energy consumption of machines. The energy minimization is achieved by switching a machine t...
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This paper addresses the problem of retrieving an autonomous underwater vehicle (AUV) with an unmanned aerial vehicle (UAV). The design of the compliant net that naturally adapts to the payload morphology is proposed ...
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