Cooperative adaptive cruise control (CACC) has important significance for the development of the connected and automated vehicle (CAV) industry. In this paper, a learning control method combined Deep Deterministic Pol...
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ISBN:
(数字)9781728184975
ISBN:
(纸本)9781728184982
Cooperative adaptive cruise control (CACC) has important significance for the development of the connected and automated vehicle (CAV) industry. In this paper, a learning control method combined Deep Deterministic Policy Gradient and Proportional-Integral-Derivative (DDPG-PID) controller is proposed. The main contribution of this study is automating the PID weight tuning process by formulating this objective as a deep reinforcement learning (DRL) problem. Based on the hardware-in-the-loop (HIL) simulation platform, the DDPG-PID controller is compared with the conventional PID controller under the test condition. Experiment results indicate that on 38.95% stability time in vehicular platooning system is decreased by utilizing the proposed method. The performance of maximum distance error is also improved efficiently, which is reduced by 60.94%. The research in this paper is a further development of learning control method and provides a new idea for the practical application of DRL algorithm in industrial field.
This paper describes and compares two approaches to the development of the voltage source converter. The first approach is the implementation of only the off-line simulation, while the second one also involves the on-...
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This paper describes the design and implementation of the ALSET Lab, a simulator-based laboratory that can host real-time hardware-in-the-loop experiments on time-critical applications for cyber-physical power network...
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ISBN:
(数字)9781728155081
ISBN:
(纸本)9781728155098
This paper describes the design and implementation of the ALSET Lab, a simulator-based laboratory that can host real-time hardware-in-the-loop experiments on time-critical applications for cyber-physical power networks. The paper makes emphasis on precise timing and communication networks, which can be used as a guide to build similar facilities.
In this paper, the composition and operation mechanism of a multi-aircraft cooperative simulation system is analyzed, with its formal architecture identified as a discrete event system differential equation system spe...
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This paper presents a network hardware-in-the-loop (HIL) simulation system for modeling large-scale power systems. Researchers have developed many HIL test systems for power systems in recent years. Those test systems...
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Increasing complexity of automotive systems along with growing safety and performance requirements, is causing development cycle costs to swell. A common solution is to use a Model-Based Design (MBD) approach, particu...
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Different hardware platforms and their associated real time operating systems that can be used in an educational laboratory for illustrating engine electronic control unit hardware in the loop testing are presented an...
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Divers have a variety of tasks typically with high complexity and high risk. Autonomous underwater vehicles (AUVs) can improve the efficiency and safety of divers by assisting divers in performing underwater operation...
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ISBN:
(数字)9781728154466
ISBN:
(纸本)9781728184098
Divers have a variety of tasks typically with high complexity and high risk. Autonomous underwater vehicles (AUVs) can improve the efficiency and safety of divers by assisting divers in performing underwater operations. A dive-buddy AUV should have the ability to follow a diver and interact with a diver. Dive-buddy AUVs can be developed based on machine vision technology or acoustics technology, leading to different advantages and limitations regarding the diver-following and human-machine interaction abilities of the AUVs. Compared with sonar devices, the main limitation of optical cameras is their short underwater visibility range. However, optical cameras have the advantages of high resolution, high frame rate, low cost, and high application popularity. The IUT AUV, developed by the Institute of Undersea Technology at Nation Sun Yat-sen University, is the testbed AUV of this research. This research aimed to make the IUT AUV become a diver-following AUV. This research applied Tiny-YOLOv3 convolutional neural network (CNN) to image detection of divers and developed a diver detection module as a payload sensor for the IUT AUV. This research developed a single-diver following control algorithm and evaluated the single-diver following performance under different scenarios through hardware-in-the-loop simulation (HIL) system that conforms to the communication format and power architecture of the IUT AUV. This research verified the single-diver following capability of the IUT AUV through closed water experiments conducted in a towing tank.
The objective of this work is the modelization of an electric Formula Student car through Energetic Macroscopic Representation (EMR) graphical formalism and to study the effect of regenerative braking. EMR is used to ...
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Equivalent circuit models are widely used to describe the electrical behavior of batteries. They are also prioritized for energetic studies and driving range estimations of electric vehicles. This is mainly due to the...
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ISBN:
(数字)9781728189598
ISBN:
(纸本)9781728189604
Equivalent circuit models are widely used to describe the electrical behavior of batteries. They are also prioritized for energetic studies and driving range estimations of electric vehicles. This is mainly due to their simplicity and acceptable accuracy. This paper presents a comparison of the accuracy of two equivalent circuit models (Rint and Thevenin) under a driving scenario. For this, a hardware-in-the-loop simulation of a traction subsystem is used to impose a current profile into a real Li-ion battery module. This current profile is deduced from a reference velocity profile. Then, the measured battery voltage and current are compared to those of the simulated models, by imposing the same reference velocity. Results show a small error difference between the two models.
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