Systems Modelling and Control Applied to a Low-Pressure Gas Distribution Network

1992 ◽  
Vol 206 (1) ◽  
pp. 35-44 ◽  
Author(s):  
J S Parkinson ◽  
R J Wynne
Keyword(s):  
Control System ◽  
Distribution Networks ◽  
Low Pressure ◽  
Effective Control ◽  
Gas Distribution ◽  
Control Scheme ◽  
Systems Modelling ◽  
And Control ◽  
Low Pressures ◽  
Selection Of

A control system has been designed and implemented to provide more effective energy management of low-pressure gas distribution networks. The key to this is the provision of a control scheme that maintains low pressures across a network. The work was approached from first principles and a modelling technique has been developed which provides reduced order models that adequately describe the characteristics of multi-feed gas networks. The models were then used for the control system design, which in this case also included the selection of the optimal measurement points for most effective control. Following extensive design studies a relatively straightforward control scheme resulted which has been implemented and proved to be effective.

scholarly journals An Adaptive Differential Protection and Fast Auto-Closing System for 10 kV Distribution Networks Based on 4G LTE Wireless Communication

2019 ◽  
Vol 12 (1) ◽  
pp. 2 ◽  
Author(s):  
Wen An ◽  
Jun Jie Ma ◽  
Hong Yang Zhou ◽  
Hong Shan Chen ◽  
Xu Jun ◽  
...  
Keyword(s):  
Control System ◽  
Wireless Communication ◽  
Power System ◽  
Power Supply ◽  
Distribution Networks ◽  
Fault Isolation ◽  
Differential Protection ◽  
Current Differential Protection ◽  
Protection And Control ◽  
And Control

With the development of wireless communication technology and computer technology, more and more smart technologies have been applied in electricity distribution networks. This paper presents an adaptive current differential protection and fast auto-closing system for application in 10 kV distribution networks in China Southern Power Grid. The current differential protection can adaptively change its settings according to the topology change of the primary distribution networks, thus the system effectively reduces the operation and maintenance cost of the power distribution network. In order to restore the power supply for the healthy part of the 10 kV networks quickly after a power system fault is cleared, the protection and control system provides wide area control function for automatic fault isolation and automatic switching. The traditional overcurrent protection and control system have no fault location function, it may take several minutes or even hours to manually locate a fault and then restore the power supply. Compared with the protection and control system of the traditional 10 kV distribution networks, the system developed can locate and isolate faults within 900 ms (assuming that the operating time of the load switch is 700 ms), and can quickly restore power supply in less than one second after a power system fault is cleared.

scholarly journals A Simplified Model Predictive Control for T-Type Inverter with Output LC Filter

Energies ◽  
2018 ◽  
Vol 12 (1) ◽  
pp. 31 ◽  
Author(s):  
Van-Quang-Binh Ngo ◽  
Minh-Khai Nguyen ◽  
Tan-Tai Tran ◽  
Young-Cheol Lim ◽  
Joon-Ho Choi
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Performance Simulation ◽  
Control Scheme ◽  
Finite Control ◽  
Lc Filter ◽  
The Cost ◽  
And Control ◽  
Measurement And Control ◽  
Selection Of

In this paper, a model predictive control scheme for the T-type inverter with an output LC filter is presented. A simplified dynamics model is proposed to reduce the number of the measurement and control variables, resulting in a decrease in the cost and complexity of the system. Furthermore, the main contribution of the paper is the approach to evaluate the cost function. By employing the selection of sector information distribution in the reference inverter voltage and capacitor voltage balancing, the execution time of the proposed algorithm is significantly reduced by 36% compared with conventional model predictive control without too much impact on control performance. Simulation and experimental results are studied and compared with conventional finite control set model predictive control to validate the effectiveness of the proposed method.

Leak detection in low-pressure gas distribution networks by probabilistic methods

2018 ◽  
Vol 58 ◽  
pp. 69-79 ◽  
Author(s):  
Payal Gupta ◽  
Thaw Tar Thein Zan ◽  
Mengmeng Wang ◽  
Justin Dauwels ◽  
Abhisek Ukil
Keyword(s):  
Leak Detection ◽  
Distribution Networks ◽  
Low Pressure ◽  
Probabilistic Methods ◽  
Gas Distribution

Selection of Grasping Target and Control System of Robotic Prosthetic Hand using Images and Deep Learning

2020 ◽  
Vol 26 (5) ◽  
pp. 312-317
Author(s):  
Haejune Park ◽  
Bohyeon An ◽  
Junmin Baek ◽  
Dongkyu Lee ◽  
Changwon Kim ◽  
...  
Keyword(s):  
Deep Learning ◽  
Control System ◽  
Prosthetic Hand ◽  
And Control ◽  
Selection Of

Dynamic Model Development of Linear Fresnel Solar Field

2015 ◽  
Author(s):  
Elina Hakkarainen ◽  
Matti Tähtinen ◽  
Hannu Mikkonen
Keyword(s):  
Control System ◽  
Dynamic Simulation ◽  
Model Development ◽  
Control Mode ◽  
Plant Behavior ◽  
Clear Sky ◽  
Control Scheme ◽  
Control Schemes ◽  
And Control ◽  
Solar Field

As a dispatchable clean energy source, concentrated solar power (CSP) can be one of the key technologies to overcome many problems related to fossil fuel consumption and electricity balancing problems. Solar is a variable location, time and weather dependent source of energy, which sets challenges to solar field operations. With proper dynamic simulation tools it is possible to study dynamics of CSP field under changing weather conditions, find optimum control strategies, and plan and predict the performance of the field. CSP technology considered in this paper, linear Fresnel reflector (LFR), is a proven line focusing technology, having simpler design but suffering in optical performance compared to more mature parabolic trough (PT) technology. Apros dynamic simulation software is used to configure and simulate the solar field. Apros offers a possibility to dynamically simulate field behavior with varying collector configuration, field layout and control mode under varying irradiation conditions. The solar field applies recirculation (RC) as a control mode and direct steam generation (DSG) producing superheated steam. DSG sets challenges for the control scheme, which main objective is to maintain constant steam pressure and temperature at the solar field outlet under varying inlet water and energy conditions, while the steam mass flow can vary. The design and formulation of an entire linear Fresnel solar field in Apros is presented, as well as the obtained control scheme. The field includes user defined amount of collector modules, control system and two modules describing solar irradiation on the field. As two-phase water/steam flow is used, an accurate 6-equation model is used in Apros. Irradiation on the solar field under clear sky conditions is calculated according to time, position and Linke turbidity factor. Overcast conditions can be created by the clear sky index. For LFR single-axis sun tracking system is applied. In order to test the model functionality and to investigate the field behavior, thermal performance of the field was simulated at different dates at two different locations, and the results were compared. Similar field dimensions and control schemes were applied in each case, and simulations were done for full 24 hours in order to study the daily operations and ensure process stability. Control scheme functionality is evaluated based on the plant behavior in simulation cases having different operational conditions. The proper operability of the configured LFR model is evaluated. Obtained performance results show differences between locations and variation depending on season and time. The importance of a proper control system is revealed. The results show that the dynamic model development of a solar field is necessary in order to simulate plant behavior under varying irradiation conditions and to further develop optimal field control schemes and field optimizing process. The future work in the development of the LFR model presented will focus on dynamic response behavior development under transient conditions and field start-up and shut down procedure development.

Automatic heart-rate-based selection of pedal load and control system for electric cart

Mechatronics ◽  
2013 ◽  
Vol 23 (3) ◽  
pp. 279-288 ◽  
Author(s):  
Jinhua She ◽  
Sho Yokota ◽  
Eliza Yingzi Du
Keyword(s):  
Heart Rate ◽  
Control System ◽  
And Control ◽  
Selection Of

Nonlinear Modeling and Control of Overhead Crane Load Sway

1988 ◽  
Vol 110 (3) ◽  
pp. 266-271 ◽  
Author(s):  
Kamal A. F. Moustafa ◽  
A. M. Ebeid
Keyword(s):  
Control System ◽  
Feedback Control ◽  
Digital Computer ◽  
Nonlinear Modeling ◽  
Overhead Crane ◽  
Nonlinear Dynamical ◽  
Modeling And Control ◽  
Control Scheme ◽  
Rate Of Decay ◽  
And Control

In this paper, we derive a nonlinear dynamical model for an overhead crane. The model takes into account simultaneous travel and transverse motions of the crane. The aim is to transport an object along a specified transport route in such a way that the swing angles are suppressed as quickly as possible. We develop an antiswing control system which adopts a feedback control to specify the crane speed at every moment. The gain matrix is chosen such that a desired rate of decay of the swing angles is obtained. The model and control scheme are simulated on a digital computer and the results prove that the feedback control works well.

A Study on μ-Synthesis Control for Four-Wheel Steering System to Enhance Vehicle Lateral Stability

2010 ◽  
Vol 133 (1) ◽  
Author(s):  
Guo-Dong Yin ◽  
Nan Chen ◽  
Jin-Xiang Wang ◽  
Ling-Yao Wu
Keyword(s):  
Control System ◽  
Experimental Tests ◽  
Steering System ◽  
Hardware In The Loop ◽  
Steering Control ◽  
Robust Controller ◽  
Control Scheme ◽  
Parameter Variations ◽  
Good Vehicle ◽  
Selection Of

This paper presents the design of μ-synthesis control for four-wheel steering (4WS) vehicle and an experimental study using a hardware-in-the-loop (Hil) setup. First, the robust controller is designed and the selection of weighting functions is discussed in the framework of μ-synthesis control scheme, considering the varying parameters induced by running vehicle condition. Second, in order to investigate the feasibility of the four-wheel steering control system, the 4WS vehicle control system is built using dSPACE DS1005 platform. The experimental tests are performed using the Hil setup which has been constructed using the devised rear steering actuating system. The dynamics performance is evaluated by experiment using the Hil setup under the condition of parameter variations. Finally, experimental results show that the μ-synthesis controller can enhance good vehicle lateral maneuverability.

scholarly journals Using Evolutionary Algorithms for the Scheduling of Aircrew on Airborne Early Warning and Control System

2020 ◽  
Vol 70 (3) ◽  
pp. 240-248
Author(s):  
Hamit Taner Ünal ◽  
Fatih Başçiftçi
Keyword(s):  
Control System ◽  
Evolutionary Algorithms ◽  
Early Warning ◽  
Crew Scheduling ◽  
Superior Performance ◽  
Effective Control ◽  
Test Bed ◽  
Use Of Resources ◽  
Novel Approach ◽  
And Control

Equipped with an advanced radar and other electronic systems mounted on its body, Airborne Early Warning and Control System (AWACS) enables the airspace to be monitored from medium to long distances and facilitates effective control of friendly aircraft. To operate the complex equipment and fulfill its critical functions, AWACS has a specialised flight and mission crew, all of whom are extensively trained in their respective roles. For mission accomplishment and effective use of resources, tasks should be scheduled, and individuals should be assigned to missions appropriately. In this paper, we implemented evolutionary algorithms for scheduling aircrew on AWACS and propose a novel approach using Genetic Algorithms (GA) with a special encoding strategy and modified genetic operations tailored to the problem. The objective is to assign aircrew to various AWACS tasks such as flights, simulator sessions, ground training classes and other squadron duties while aiming to maximise combat readiness and minimise operational costs. The presented approach is applied to several test instances consisting notional weekly schedules of Turkish Boeing 737 AEW&C Peace Eagle AWACS Base, generated similar to real-world examples. To test the algorithm and evaluate solution performance, experiments have been conducted on a novel scheduling software called AWACS Crew Scheduling (ACS), developed as a test bed. Computational results reveal that presented GA approach proves to be quite successful in solving the AWACS Crew Scheduling Problem and exhibits superior performance when compared to manual methods.

scholarly journals Appraising the Impact of Pressure Control on Leakage Flow in Water Distribution Networks

Water ◽  
2021 ◽  
Vol 13 (19) ◽  
pp. 2617
Author(s):  
Thapelo C. Mosetlhe ◽  
Yskandar Hamam ◽  
Shengzhi Du ◽  
Eric Monacelli
Keyword(s):  
Water Distribution ◽  
Pressure Control ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
Effective Control ◽  
Model Free ◽  
Critical Nodes ◽  
Control Scheme ◽  
The Impact ◽  
Nodal Pressure

Water losses in Water Distribution Networks (WDNs) are inevitable. This is due to joints interconnections, ageing infrastructure and excessive pressure at lower demand. Pressure control has been showing promising results as a means of minimising water loss. Furthermore, it has been shown that pressure information at critical nodes is often adequate to ensure effective control in the system. In this work, a greedy algorithm for the identification of critical nodes is presented. An emulator for the WDN solution is put forward and used to simulate the dynamics of the WDN. A model-free control scheme based on reinforcement learning is used to interact with the proposed emulator to determine optimal pressure reducing valve settings based on the pressure information from the critical node. Results show that flows through the pipes and nodal pressure heads can be reduced using this scheme. The reduction in flows and nodal pressure leads to reduced leakage flows from the system. Moreover, the control scheme used in this work relies on the current operation of the system, unlike traditional machine learning methods that require prior knowledge about the system.

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