This paper describes a decentralized approach to control the execution of a set of tasks for a network of heterogeneous robotic agents, i.e., agents with different sets of sensors and actuators. The proposed approach ...
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ISBN:
(纸本)9781467320658
This paper describes a decentralized approach to control the execution of a set of tasks for a network of heterogeneous robotic agents, i.e., agents with different sets of sensors and actuators. The proposed approach is based on a discrete-event modeling and control framework. The novelty is the full decoupling between the tasks modeling and their deployment. This implies an higher robustness to faults in the network of agents and a more systematic way for the task modeling regardless of the actual capability of the agents. A consensus-based mechanism is exploited in the control system to achieve coherence among the agents state and synchronize the agents action.
In this study, parallel connection of separate voltage sources has been realized using cuk converters. For this aim, output voltages of converters are measured continuously and then fixed to a reference value. The PWM...
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In this study, parallel connection of separate voltage sources has been realized using cuk converters. For this aim, output voltages of converters are measured continuously and then fixed to a reference value. The PWM signals which are required to control the converters and to sense the current and voltage signals are generated by an FPGA. Since the FPGA has parallel processing feature, voltage and current data of the system are measured at the same time. Thus, the converters are connected in parallel punctually and load sharing between them are provided in order to eliminate some undesired cases like unbalanced loading. In the system realized, two identical cuk converters are used. As cuk converters can operate both in buck and boost modes, output voltages are fixed to the reference voltage successfully, even though input voltages are low or high. Experimental results show that the system achieved operates with a reasonable efficiency ranging from 81% to 88%.
For both manned and autonomous space on-orbit servicing missions, the collision avoidance and motion prediction of the target objects are essential for a safe mission operation. Our approach assumes unknown and uncoop...
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ISBN:
(纸本)9781467317375
For both manned and autonomous space on-orbit servicing missions, the collision avoidance and motion prediction of the target objects are essential for a safe mission operation. Our approach assumes unknown and uncooperative target objects (spacecraft, space debris) and a camera only vision system. The target's 3D structure is reconstructed from a sparse point cloud extracted from a rendezvous-SLAM algorithm and processed by a RANSAC algorithm. Afterwards the 3D model can be used in a feedback manner for enhancing visual navigation processing tasks. The paper details the general concept and presents experimental results with camera image data from a spacecraft rendezvous simulator testbed.
This paper presents a dual layer approach for robust fault tolerant estimation of nonlinear processes using a combined adaptive extended Kalman filter and fault detection and filter reconfiguration. From the one hand,...
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This paper presents a dual layer approach for robust fault tolerant estimation of nonlinear processes using a combined adaptive extended Kalman filter and fault detection and filter reconfiguration. From the one hand, the filter is made robust in face of environment uncertainty using adaptive filtering. To this end, the filter identifies the measurement covariance by means of recursive estimation, upon which the adaptation relies, to suppress the effect of sporadic variations in the quality of measurements as well as compensates for incipient sensor faults. From the other hand, fault monitoring is continuously applied to the filter's innovation in an attempt to initiate filter reconfiguration when the adaptation mechanism alone is not able to overcome the failure situation. The discussion of the results is embedded in the application framework of state estimation of a batch distillation process.
In this paper, a sensorless control method for low and zero speed operation is proposed for a high-power medium-voltage pulse-width-modulated Current-Source-Converter (CSC)-fed Interior Permanent Magnet Motor (IPM) dr...
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In this paper, a sensorless control method for low and zero speed operation is proposed for a high-power medium-voltage pulse-width-modulated Current-Source-Converter (CSC)-fed Interior Permanent Magnet Motor (IPM) drive system. The proposed method is based on injection of a high-frequency (HF) pulsating sinusoidal signal in the estimated synchronous reference frame of the drive's Field Oriented Control (FOC) scheme. The conventional FOC control scheme, low switching frequency, dc-link inductor and the inverter output three-phase filter capacitor of the medium-voltage high-power current-source drive present some challenges in the generation of the high-frequency injection signal. To overcome these challenges, the FOC scheme is modified by introducing a modulation index control with suitable dc-link current compensation to enhance the dynamic response of the injected signal and prevent any clamp in the injected signal. In addition, a Multisampling Space Vector Modulation (MS-SVM) method is proposed to prevent the distortion in the high-frequency signal due to a low switching frequency to injected signal ratio. It is found that by using the proposed FOC scheme and multisampling modulation scheme, and proper design of the high-frequency signal, an accurate rotor flux angle can be estimated for sensorless zero/low speed operation. Experimental results are provided to verify the proposed control method.
A relay selection algorithm is proposed to improve the system performance based on statistical channel state information(CSI) in amplify-and-forward(AF) cooperative networks. An exact and upper bound ergodic capacity ...
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A relay selection algorithm is proposed to improve the system performance based on statistical channel state information(CSI) in amplify-and-forward(AF) cooperative networks. An exact and upper bound ergodic capacity formulation were derived for AF relay selection network. Theoretical analysis and simulation results validate the Tightness and feasibility of upper bound ergodic capacity.
This paper overviews recent advances in the field of switched fuzzy systems, switched systems whose subsystems are fuzzy systems, followed by the comparative study for this kind of systems. Starting with the basic ide...
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ISBN:
(纸本)9781467322768
This paper overviews recent advances in the field of switched fuzzy systems, switched systems whose subsystems are fuzzy systems, followed by the comparative study for this kind of systems. Starting with the basic ideas of switched fuzzy systems, the comparative study is aimed in introducing the diverse approaches in their model construction, as well as the challenges related with the stability analysis and stabilization of such systems. The last includes the issue of stability analysis and finding conditions for existence of switched fuzzy controllers which will stabilize the nonlinear system.
For long distance electric power transmission system, the neutral delay system model of current and voltage on lossless and even transmission line were established, on this basis a new control strategy of power transm...
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For long distance electric power transmission system, the neutral delay system model of current and voltage on lossless and even transmission line were established, on this basis a new control strategy of power transmission system based on the linear semigroup spectral decomposition method was proposed, simulation results show that the effectiveness of the proposed method. By this proposed method the combination of delay control theory and electrical engineering was achieved, and it has promotional value.
Wireless sensor networks (WSNs) are usually deployed in the non-controlled environment without maintenance, facing the danger of information disclosure, tampering, replay attacks, denial of service and other threats, ...
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Wireless sensor networks (WSNs) are usually deployed in the non-controlled environment without maintenance, facing the danger of information disclosure, tampering, replay attacks, denial of service and other threats, it makes collaboration among WSN nodes becomes more and more vital. Some common trust collaboration model is analyzed and summarized in this paper firstly, after studying the collaboration of the ant colony system, the trust model based on Biologically-inspired Trust and Reputation Model (BTRM) used for wireless sensor networks is put forward, also the features and architecture of the simulation system is proposed. This paper describes BTRM theory and the design and implementation of simulation system in detail. The simulation shows the output average path length, the average satisfaction, the average deviation and so on is more satisfied with the improvements.
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