Therampant deployment of data distribution service (DDS) as middle-ware serviceproviders for industrial network platforms has been widely investigated. AllDDS-based node discovery protocols establish communication wit...
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Therampant deployment of data distribution service (DDS) as middle-ware serviceproviders for industrial network platforms has been widely investigated. AllDDS-based node discovery protocols establish communication with its intendedtarget systems by accessing matched endpoints/nodes information. These matchedendpoints/nodes information is usually embedded with the system's programmablecontrol plane network which acts as the conveyor vehicle. The introduction ofsoftware defined networking (SDN) is to characterize the control plane from embeddeddata plane. The DDS implements the simple discovery protocol (SDP) as itsinherent node discovery protocol. Deploying DDS for data packet exchange inserver-based collaborative distributed networked control (DNC) systems has gainedtraction. The current automatic discovery protocol (ADP) based on SDP is fraughtwith real-time limitations such as high memory consumption and poor packettransmission. This work presents novel memory-efficient automatic discoverydata distribution service (MAD-DDS) with enhanced threshold bloom filters(ETBF) where ETBF stores transmission packets at simulation end-nodes. The packetis further adjusted using optimized binarization and decision thresholds insideADP, hence guaranteeing memory reduction. The testbed computation recordedsignificantly improved quality of service (QoS) whereas numerical results depictsignificant decline in memory consumption with consistent packet transmissionrates that produces increased computational capacity.
This study proposes a new distributed networked control (DNC) scheme and its stability analysis framework for automatic generation control in networked interconnected power systems with participation of wind turbine. ...
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This study proposes a new distributed networked control (DNC) scheme and its stability analysis framework for automatic generation control in networked interconnected power systems with participation of wind turbine. It is assumed that the remote control signals are measured at locations away from the control site and exchanged among a non-ideal communication network with both time-varying delays and random packet dropouts. First, a model is proposed for large-scale DNC system consisting of subsystems, in which the states of each subsystem have their own time-varying delay and there are also delay and packet dropouts in their interconnection links. Then, a linear matrix inequality (LMI)-based method is proposed to design the distributedcontroller for better system performance. For this, a new Lyapunov-Krasovskii function is developed to conclude some LMI-based delay-independent theorem for designing control law. To evaluate the proposed method, a multi-area power system with participation of wind turbine is considered. Simulation results show the capability of the proposed approach to enhance the performance of networked power system in the presence of load perturbation among a non-ideal communication network with both time-varying delays and random packet dropouts.
To advance optical profile accuracy of high-resolution imaging Fourier telescope and improve the real-time of profile error suppressing, the paper proposed a novel real-time networkedcontrol scheme integrated EtherCA...
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ISBN:
(纸本)9781479949557
To advance optical profile accuracy of high-resolution imaging Fourier telescope and improve the real-time of profile error suppressing, the paper proposed a novel real-time networkedcontrol scheme integrated EtherCAT(Ethernet for control Automation Technology) field bus with PC-based control model. Based on the high speed transmission principle of EtherCAT field bus it improves the real-time of surface error suppressing induced by wind load and meets the requirements of high resolution imaging;Then it makes good use of powerful clustering control, the open architecture of PC controller to solve cluster control problem of mass distributed drivers in large telescope. The results show that EtherCAT networkedcontrol solution has advantages of highest real-time, flexible network control structure, powerful clustering control ability. It can meet the real-time requirement of profile error suppressing caused by wind load in Large Fourier telescope.
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