Real-Time Optimal Coherent Phantom Track Generation via the Virtual Motion Camouflage Approach

2011 ◽

Vol 133 (5) ◽

Cited By ~ 1

Author(s):

Yunjun Xu ◽

Gareth Basset

Keyword(s):

Real Time ◽

Computational Cost ◽

Inequality Constraints ◽

Early Termination ◽

Planning Problem ◽

Motion Camouflage ◽

Equality And Inequality Constraints ◽

Time Optimal ◽

And Control ◽

Air Vehicles

Coherent phantom track generation through controlling a group of electronic combat air vehicles is currently an area of great interest to the defense agency for the purpose of deceiving a radar network. However, generating an optimal or even feasible coherent phantom trajectory in real-time is challenging due to the high dimensionality of the problem and severe geometric, as well as state, control, and control rate constraints. In this paper, the bio-inspired virtual motion camouflage based methodology, augmented with the derived early termination condition, is investigated to solve this constrained collaborative trajectory planning problem in two approaches: centralized (one optimization loop) and decentralized (two optimization loops). Specifically, in the decentralized approach, the first loop finds feasible phantom tracks based on the early termination condition and the equality and inequality constraints of the phantom track. The second loop uses the virtual motion camouflage method to solve for the optimal electronic combat air vehicle trajectories based on the feasible phantom tracks obtained in the first loop. Necessary conditions are proposed for both approaches so that the initial and final velocities of the phantom and electronic combat air vehicles are coherent. It is shown that the decentralized approach can solve the problem much faster than the centralized one, and when the decentralized approach is applied, the computational cost remains roughly the same for the cases when the number of nodes and/or the number of electronic combat air vehicles increases. It is concluded that the virtual motion camouflage based decentralized approach has promising potential for usage in real-time implementation.

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Neighborhood estimation in sensitivity-based update rules for real-time optimal control

2020 European Control Conference (ECC) ◽

10.23919/ecc51009.2020.9143701 ◽

2020 ◽

Author(s):

Caroline Specht ◽

Matthias Gerdts ◽

Roberto Lampariello

Keyword(s):

Optimal Control ◽

Real Time ◽

Time Optimal Control ◽

Time Optimal ◽

Update Rules

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Real-time Optimal Operation of Microgrid with Power-to-hydrogen

2020 IEEE Sustainable Power and Energy Conference (iSPEC) ◽

10.1109/ispec50848.2020.9351164 ◽

2020 ◽

Author(s):

Zhiyao Zhong ◽

Danji Huang ◽

Kewei Hu ◽

Xiaomeng Ai ◽

Jiakun Fang

Keyword(s):

Real Time ◽

Optimal Operation ◽

Time Optimal

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Dynamic Modelling and Simulation of a Multistage Flash Desalination System

Processes ◽

10.3390/pr9030522 ◽

2021 ◽

Vol 9 (3) ◽

pp. 522

Author(s):

Qiu-Yun Huang ◽

Ai-Peng Jiang ◽

Han-Yu Zhang ◽

Jian Wang ◽

Yu-Dong Xia ◽

...

Keyword(s):

Real Time ◽

Mass Flow Rate ◽

Mass Flow ◽

Flow Rate ◽

Dynamic Change ◽

Seawater Temperature ◽

Dynamic Modelling ◽

Optimal Operation ◽

Simultaneous Solution ◽

Time Optimal

As the leading thermal desalination method, multistage flash (MSF) desalination plays an important role in obtaining freshwater. Its dynamic modeling and dynamic performance prediction are quite important for the optimal control, real-time optimal operation, maintenance, and fault diagnosis of MSF plants. In this study, a detailed mathematical model of the MSF system, based on the first principle and its treatment strategy, was established to obtain transient performance change quickly. Firstly, the whole MSF system was divided into four parts, which are brine heat exchanger, flashing stage room, mixed and split modulate, and physical parameter modulate. Secondly, based on mass, energy, and momentum conservation laws, the dynamic correlation equations were formulated and then put together for a simultaneous solution. Next, with the established model, the performance of a brine-recirculation (BR)-MSF plant with 16-stage flash chambers was simulated and compared for validation. Finally, with the validated model and the simultaneous solution method, dynamic simulation and analysis were carried out to respond to the dynamic change of feed seawater temperature, feed seawater concentration, recycle stream mass flow rate, and steam temperature. The dynamic response curves of TBT (top brine temperature), BBT (bottom brine temperature), the temperature of flashing brine at previous stages, and distillate mass flow rate at previous stages were obtained, which specifically reflect the dynamic characteristics of the system. The presented dynamic model and its treatment can provide better analysis for the real-time optimal operation and control of the MSF system to achieve lower operational cost and more stable freshwater quality.

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Toward a Comfortable Driving Experience for a Self-Driving Shuttle Bus

Electronics ◽

10.3390/electronics8090943 ◽

2019 ◽

Vol 8 (9) ◽

pp. 943 ◽

Cited By ~ 11

Author(s):

Il Bae ◽

Jaeyoung Moon ◽

Jeongseok Seo

Keyword(s):

Real Time ◽

High Performance ◽

Autonomous Driving ◽

Planning Method ◽

Dynamics Simulation ◽

Driving Experience ◽

Optimal Velocity ◽

Planning Approach ◽

Velocity Planning ◽

Time Optimal

The convergence of mechanical, electrical, and advanced ICT technologies, driven by artificial intelligence and 5G vehicle-to-everything (5G-V2X) connectivity, will help to develop high-performance autonomous driving vehicles and services that are usable and convenient for self-driving passengers. Despite widespread research on self-driving, user acceptance remains an essential part of successful market penetration; this forms the motivation behind studies on human factors associated with autonomous shuttle services. We address this by providing a comfortable driving experience while not compromising safety. We focus on the accelerations and jerks of vehicles to reduce the risk of motion sickness and to improve the driving experience for passengers. Furthermore, this study proposes a time-optimal velocity planning method for guaranteeing comfort criteria when an explicit reference path is given. The overall controller and planning method were verified using real-time, software-in-the-loop (SIL) environments for a real-time vehicle dynamics simulation; the performance was then compared with a typical planning approach. The proposed optimized planning shows a relatively better performance and enables a comfortable passenger experience in a self-driving shuttle bus according to the recommended criteria.

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