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...
详细信息
With the rapid development of intelligent vehicles, human drivers are sharing the control authority with the automation functionalities. The mutual understanding between the intelligent vehicle and the human driver is...
详细信息
With the rapid development of intelligent vehicles, human drivers are sharing the control authority with the automation functionalities. The mutual understanding between the intelligent vehicle and the human driver is the key to the efficient multi-agent teaming and the collaborative driving system. In this study, a two-stage learning framework for spatial-temporal driver lane change intention inference is developed. The two-stage learning framework contains two separate parts. First, an operational level driving behavior recognition system based on the deep convolutional neural network (CNN) is developed to recognize the driver behaviors, including mirror checking and normal driving. Then, based on the driver behavior features from the CNN, the sequential feature vector will be used for the construction of driver intention inference model based recurrent neural networks (RNN) and long short-term memory (LSTM). The proposed model achieved a state-of-the-art result on the driver lane change intention inference task. Based on the naturalistic driving dataset, the model achieved over 91% accuracy for lane change and lane-keeping intention prediction. The two-stage learning framework can significantly increase the model flexibility and accuracy, which makes it easier to be implemented and updated in intelligent vehicles.
A hybrid Multi-Terminal DC MTDC system that encompasses the almost complete range of processes and techniques related to the effective transmission of electricity is an essential feature. However, smoothness is still ...
详细信息
The choice of suitable human surface muscles and of their electromyographic (EMG) signal processing have always been a challenge, especially when technical devices are to be controlled by these signals. Experiments wi...
详细信息
This study aimed to investigate factors that determine public’s acceptance of automated vehicles (AVs) by proposing and empirically testing an AV acceptance model. The model was developed by incorporating two factors...
详细信息
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...
详细信息
This paper proposes a cooperative adaptive cruise control model, adding a communication network structure to an existing model that has been shown to capture real commercial adaptive cruise control vehicle behavior. T...
详细信息
This paper proposes a cooperative adaptive cruise control model, adding a communication network structure to an existing model that has been shown to capture real commercial adaptive cruise control vehicle behavior. The proposed model is interesting because it only requires minimal information sharing, facilitating the creation of platoons comprised of vehicles from different manufacturers. We prove the stability of the model and discuss string stability. Algorithms for estimating the velocity of the vehicles locally and for estimating the velocities of all the vehicles in the platoon are presented. We simulate vehicle platoon control with the lead vehicle following an experimentally collected trajectory, showing that adding communication can cause a string unstable platoon to become stable.
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 presents the implementation of improved relative coupling control (IRCC) with PI controller (PIC), velocity coupling compensation(VCC) and second-order consensus compensation (SCC) for speed synchronization...
详细信息
ISBN:
(纸本)9781728133997
This paper presents the implementation of improved relative coupling control (IRCC) with PI controller (PIC), velocity coupling compensation(VCC) and second-order consensus compensation (SCC) for speed synchronization control of multiple permanent magnet synchronous motors (PMSMs). Virtual network topology is constructed in SCC, distributed cooperative second order consensus protocol is utilized with leader-followers type for the compensation of PMSM control signal. To verify the validation of the IRCC, compare with traditional relative coupling controller is investigated. The results of simulation are provided to demonstrate the effectiveness of the proposed IRCC on stable synchronization with no load and load situations.
暂无评论