A Control Approach Using Network Latency Interval to Preserve Real-Time Causality

2018 ◽  
pp. 26-35
Author(s):  
Hangjun Zhou ◽  
Guang Sun ◽  
Shuyang Du ◽  
Feng Liu ◽  
Bo Yang ◽  
...  
Keyword(s):  
Real Time ◽  
Control Approach ◽  
Network Latency ◽  
Latency Interval

scholarly journals Learning Feedforward Control Using Multiagent Control Approach for Motion Control Systems

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 420
Author(s):  
Phong B. Dao
Keyword(s):  
Real Time ◽  
Feedforward Control ◽  
Design Method ◽  
Mechatronic Systems ◽  
Control Approach ◽  
Runtime Environment ◽  
Multiagent Control ◽  
On Line ◽  
Promising Solution ◽  
Function Approximator

Multiagent control system (MACS) has become a promising solution for solving complex control problems. Using the advantages of MACS-based design approaches, a novel solution for advanced control of mechatronic systems has been developed in this paper. The study has aimed at integrating learning control into MACS. Specifically, learning feedforward control (LFFC) is implemented as a pattern for incorporation in MACS. The major novelty of this work is that the feedback control part is realized in a real-time periodic MACS, while the LFFC algorithm is done on-line, asynchronously, and in a separate non-real-time aperiodic MACS. As a result, a MACS-based LFFC design method has been developed. A second-order B-spline neural network (BSN) is used as a function approximator for LFFC whose input-output mapping can be adapted during control and is intended to become equal to the inverse model of the plant. To provide real-time features for the MACS-based LFFC system, the open robot control software (OROCOS) has been employed as development and runtime environment. A case study using a simulated linear motor in the presence of nonlinear cogging and friction force as well as mass variations is used to illustrate the proposed method. A MACS-based LFFC system has been designed and implemented for the simulated plant. The system consists of a setpoint generator, a feedback controller, and a time-index LFFC that can learn on-line. Simulation results have demonstrated the applicability of the design method.

Copper Losses Studying Using a New Real Time V/f Scalar Control Approach

2021 ◽  
Author(s):  
Mohammed S. Hasan ◽  
Mohammed D. Albakhait ◽  
Al Mahturi F. Sharaf ◽  
Ahmed I. Jaber
Keyword(s):  
Real Time ◽  
Control Approach ◽  
Scalar Control ◽  
Copper Losses

scholarly journals On the Use of a Real-Time Control Approach for Urban Stormwater Management

Water ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 2842
Author(s):  
Mario Maiolo ◽  
Stefania Anna Palermo ◽  
Anna Chiara Brusco ◽  
Behrouz Pirouz ◽  
Michele Turco ◽  
...  
Keyword(s):  
Real Time ◽  
Stormwater Management ◽  
Risk Mitigation ◽  
Real Time Control ◽  
Urban Stormwater ◽  
Real Time System ◽  
Control Approach ◽  
Urban Stormwater Management ◽  
Time Control ◽  
Control Configuration

The real-time control (RTC) system is a valid and cost-effective solution for urban stormwater management. This paper aims to evaluate the beneficial effect on urban flooding risk mitigation produced by applying RTC techniques to an urban drainage network by considering different control configuration scenarios. To achieve the aim, a distributed real-time system, validated in previous studies, was considered. This approach uses a smart moveable gates system, controlled by software agents, managed by a swarm intelligence algorithm. By running the different scenarios by a customized version of the Storm Water Management Model (SWMM), the findings obtained show a redistribution of conduits filling degrees, exploiting the whole system storage capacity, with a significant reduction of node flooding and total flood volume.

Real-Time Smart Grids Control for Preventing Cascading Failures and Blackout using Neural Networks: Experimental Approach for N-1-1 Contingency

2016 ◽  
Vol 17 (6) ◽  
pp. 703-716 ◽  
Author(s):  
Sina Zarrabian ◽  
Rabie Belkacemi ◽  
Adeniyi A. Babalola
Keyword(s):  
Neural Networks ◽  
Real Time ◽  
Smart Grids ◽  
Intelligent Systems ◽  
Large Scale ◽  
Frequency Control ◽  
Test System ◽  
Selection Strategy ◽  
Control Approach ◽  
Contingency Condition

Abstract In this paper, a novel intelligent control is proposed based on Artificial Neural Networks (ANN) to mitigate cascading failure (CF) and prevent blackout in smart grid systems after N-1-1 contingency condition in real-time. The fundamental contribution of this research is to deploy the machine learning concept for preventing blackout at early stages of its occurrence and to make smart grids more resilient, reliable, and robust. The proposed method provides the best action selection strategy for adaptive adjustment of generators’ output power through frequency control. This method is able to relieve congestion of transmission lines and prevent consecutive transmission line outage after N-1-1 contingency condition. The proposed ANN-based control approach is tested on an experimental 100 kW test system developed by the authors to test intelligent systems. Additionally, the proposed approach is validated on the large-scale IEEE 118-bus power system by simulation studies. Experimental results show that the ANN approach is very promising and provides accurate and robust control by preventing blackout. The technique is compared to a heuristic multi-agent system (MAS) approach based on communication interchanges. The ANN approach showed more accurate and robust response than the MAS algorithm.

A Novel Real-time Motion Control Approach for Omni-directional Mobile Robots

2018 ◽  
Author(s):  
Junkai Ren ◽  
Wei Dai ◽  
Kuangye Xie ◽  
Junhao Xiao ◽  
Huimin Lu
Keyword(s):  
Mobile Robots ◽  
Real Time ◽  
Motion Control ◽  
Control Approach ◽  
Time Motion

scholarly journals Real-Time Low-Cost Speed Monitoring and Control of Three-Phase Induction Motor via a Voltage/Frequency Control Approach

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Ali Hmidet ◽  
Olfa Boubaker
Keyword(s):  
Real Time ◽  
Induction Motor ◽  
Closed Loop ◽  
Low Cost ◽  
Closed Loop Control ◽  
Loop Control ◽  
Control Approach ◽  
Three Phase ◽  
Wide Range ◽  
Voltage Frequency

In this paper, a new design of a real-time low-cost speed monitoring and closed-loop control of the three-phase induction motor (IM) is proposed. The proposed solution is based on a voltage/frequency (V/F) control approach and a PI antiwindup regulator. It uses the Waijung Blockset which considerably alleviates the heaviness and the difficulty of the microcontroller’s programming task incessantly crucial for the implementation and the management of such complex applications. Indeed, it automatically generates C codes for many types of microcontrollers like the STM32F4 family, also used in this application. Furthermore, it offers a cost-effective design reducing the system components and increasing its efficiency. To prove the efficiency of the suggested design, not only simulation results are carried out for a wide range of variations in load and reference speed but also experimental assessment. The real-time closed-loop control performances are proved using the aMG SQLite Data Server via the UART port board, whereas Waijung WebPage Designer (W2D) is used for the web monitoring task. Experimental results prove the accuracy and robustness of the proposed solution.

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