Since the mechanical decoupling of the steer-by-wire system, the self-aligning torque from the vehicle tire cannot be transmitted to the steering wheel. As a result, the steering wheel does not automatically return to...
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Existing time-domain simulation of LCC-HVDC systems faces a trade-off between accuracy and efficiency. The electromagnetic transient model can accurately emulate detailed dynamic processes, but its computational ineff...
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High-voltage and high-power voltage source converters (VSCs) are usually operated at low switching frequencies to minimise the switching losses. This study presents a new control method suitable for low switching freq...
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High-voltage and high-power voltage source converters (VSCs) are usually operated at low switching frequencies to minimise the switching losses. This study presents a new control method suitable for low switching frequencies. It consists of two stages. In the first stage, a simple proportional controller is used to suppress any overvoltage or overcurrent during the transients. Then, after the control variables have settled to steady-state values, the iterative controller is activated to finely adjust the modulation index and firing angle of the converter to fulfil the control objectives. To justify the proposed control method, various control objectives are realised in a 10 MVA VSC system, and the results are validated by PSCAD/EMTDC and hardware-in-the-loop simulation. The results show that state variables converge within a few iterative steps, and the transient response is sufficiently fast. The proposed method is shown to perform better than the conventional PI control for eliminating the power imbalance and DC second harmonics due to the imbalance at the grid voltage.
This paper presents the design and hardware-in-the-loop (HIL) simulation of the control system of a two-wheeled robot that implements Linear-Quadratic Gaussian (LQG) controller. In contrast to the already available re...
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This paper presents the design and hardware-in-the-loop (HIL) simulation of the control system of a two-wheeled robot that implements Linear-Quadratic Gaussian (LQG) controller. In contrast to the already available results based on a single-input single-output identification, a single-input multi-output identification procedure is applied for finding the robot model. A model of 5th order is derived and validated which is used to obtain an uncertainty model with two output multiplicative uncertainties. This model is used to design LQG controller that ensure robust stability and robust performance of the closed-loop system. The controller is embedded in a microcontroller and results from the closed-loop system HIL simulation are presented.
A low-cost Obstacle Detection and Collision Avoidance (ODCA) System stimulated from Coulomb’s inverse-square law has been proposed, deployed, and tested on self-assembled multi-rotor system. The algorithm is focused ...
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ISBN:
(纸本)9781665436571
A low-cost Obstacle Detection and Collision Avoidance (ODCA) System stimulated from Coulomb’s inverse-square law has been proposed, deployed, and tested on self-assembled multi-rotor system. The algorithm is focused to be inexpensive in terms of spacio-temporal complexities, cross platform, and able to run on low-cost, easily available hardware. It aims at protecting the drone from entering a complex situation in manual and autonomous flight modes. The ODCA system hardware design is focused to be easily integrable with various flight controllers. The hardware and communication interfacing among various modules required by the ODCA system have been briefly explained. Since, proposed ODCA system is tested on self-assembled drone, a small description about drone hardware, assembly, and communication mechanism is also provided. Furthermore, the ODCA system algorithm that processes sensor data in various stages and culminated actions are explained. Finally, the system is tested and evaluated in multi-obstacle scenario through hardware in the loop (HIL) simulation and their findings are shown.
The integration of doubly-fed induction generators (DFIGs) into wind farms presents significant challenges to current differential protection (CDP). In this study, an adaptive CDP principle for wind farms is proposed....
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This paper introduces an advanced load shedding algorithm to improve the operability performance of a medium voltage direct current (MVDC) integrated shipboard power and energy system. Outcomes are compared to a basel...
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At present, EVs are emerging at a fast pace. This may cause pressure for commercial buildings to offer electric vehicle (EV) charging services for their customers. In a cost-efficient charging site, it is necessary to...
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At present, EVs are emerging at a fast pace. This may cause pressure for commercial buildings to offer electric vehicle (EV) charging services for their customers. In a cost-efficient charging site, it is necessary to find a balance between the costs and the offered quality of charging service (QoCS). This may be a difficult task as the charging requirements of the customers are unpredictable and vary daily. In this paper, an algorithm using a charging price-based prioritization is proposed and discussed. This can be used to take unpredictable charging requirements into account and to improve the QoCS while requiring a minimal effort from the EV users. To ensure an improvement in the QoCS and the practicality of its implementation, the algorithm is tested using hardware-in-the-loop simulations with two commercial EVs and real charging data. The results verify that the QoCS can be improved by 2% on average and by up to 16% for a single EV user. This leads to a more attractive and more cost-efficient charging site.
In this work, we study the distributed channel access problem for multiple subsystems equipped with smart sensors sharing a capacity-limited communication network to perform their control tasks. We propose a fully dis...
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In this work, we study the distributed channel access problem for multiple subsystems equipped with smart sensors sharing a capacity-limited communication network to perform their control tasks. We propose a fully distributed scheme to use the limited communication resources efficiently with respect to a quadratic cost which reflects the control performance. More specifically, we adopt a priority assignment scheme which consists of two layers: (i) a dynamic priority that corresponds to the time-varying criticality of transmission for each subsystem, and (ii) a pre-specified static priority which ensures that channel access is collision-free. We first demonstrate how the dynamic priorities can be manipulated to allocate the resources with respect to the chosen cost. Next, we propose a synchronization method which enables fully distribute implementation over controller area network (CAN) hardware. We validate the compatibility of our method with the mature hardware technology of CAN by hardware-in-the-loop simulations. Finally, we demonstrate the efficacy of our proposed scheme and evaluate its performance in large-scale networks via simulation.
Current test and validation procedures for automated and connected driving functions use field tests on public roads primarily to identify unknown critical scenarios. These scenarios are then validated or varied withi...
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