BIM-based cycle control method for the whole process of building production and construction

2023 ◽  
Vol 19 (2) ◽  
pp. 1
Author(s):  
Xinjie Yuan
Keyword(s):  
Control Method ◽  
Whole Process

The Investigation of the Optimization Scheme of the Low-cycle Fatigue Cropping Based on the Acoustic Emission Technique

2021 ◽  
Author(s):  
Yujian Ren ◽  
Jingxiang Li ◽  
Yuanzhe Dong ◽  
Dong Jin ◽  
Shengdun Zhao
Keyword(s):  
Acoustic Emission ◽  
High Frequency ◽  
Control Method ◽  
Low Cycle Fatigue ◽  
Control Strategies ◽  
Low Frequency ◽  
Loading Frequency ◽  
Cycle Fatigue ◽  
Al 6061 ◽  
Whole Process

Abstract High efficiency and good section quality are two main objectives of metal bar cropping. A suitable control method can help to achieve both goals. An investigation of the control method of low-cycle fatigue cropping (LCFC) based on the acoustic emission (AE) technique has been proposed in this study. Ring-down counts and kurtosis are used to monitor the whole process of LCFC. The results showed that kurtosis is more suitable for monitoring the LCFC process and as a critical parameter to optimize the control method than ring-down counts in the noisy factory environment.Moreover, three types of materials are studied in this experiment; by combine with the AE results, macroscopic images and microscopic images of sections, characteristics of various LCFC stages are obtained. The results also indicated reduce the area of the transient fracture zone is the key to improve the section quality. Reducing the load frequency before the unstable crack propagation stage will beneficial to realize the goals. Based on the evaluation of kurtosis, an optimized control method is presented, and two control parameters: transient time T and the critical value of the slope of kurtosis C are determined. For 16Mn, 1045 and Al 6061, the T is 5s, 10s, and 1s, respectively. For 16Mn, 1045, and Al 6061, the C is 100, 300, and 0, respectively. Two parameters, h and S, are used to evaluate the section quality and four control strategies are compared. The results indicate the optimal control methods can improve the section quality effectively. The influence trend of reducing loading frequency is investigated by further comparison. It can be seen as the frequency decreases, the efficiency of the section quality improving decreases. In order to realize the optimal results, different control strategies are adopted for different materials. Strategy 1 (high frequency is 20Hz，high frequency thought the whole process), strategy 2 (high frequency is 20Hz，low frequency is 8.33Hz), and strategy 3 (high frequency is 20Hz，low frequency is 6.67Hz) is suitable for Al 6061, 1045, and 16Mn, respectively.

scholarly journals Deep Reinforcement Learning Based Left-Turn Connected and Automated Vehicle Control at Signalized Intersection in Vehicle-to-Infrastructure Environment

Information ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 77 ◽  
Author(s):  
Juan Chen ◽  
Zhengxuan Xue ◽  
Daiqian Fan
Keyword(s):  
Reinforcement Learning ◽  
Control Method ◽  
Signalized Intersection ◽  
Signal Control ◽  
Left Turn ◽  
Automated Vehicle ◽  
Whole Process ◽  
Policy Gradient ◽  
Experience Replay ◽  
Automated Vehicle Control

In order to solve the problem of vehicle delay caused by stops at signalized intersections, a micro-control method of a left-turning connected and automated vehicle (CAV) based on an improved deep deterministic policy gradient (DDPG) is designed in this paper. In this paper, the micro-control of the whole process of a left-turn vehicle approaching, entering, and leaving a signalized intersection is considered. In addition, in order to solve the problems of low sampling efficiency and overestimation of the critic network of the DDPG algorithm, a positive and negative reward experience replay buffer sampling mechanism and multi-critic network structure are adopted in the DDPG algorithm in this paper. Finally, the effectiveness of the signal control method, six DDPG-based methods (DDPG, PNRERB-1C-DDPG, PNRERB-3C-DDPG, PNRERB-5C-DDPG, PNRERB-5CNG-DDPG, and PNRERB-7C-DDPG), and four DQN-based methods (DQN, Dueling DQN, Double DQN, and Prioritized Replay DQN) are verified under 0.2, 0.5, and 0.7 saturation degrees of left-turning vehicles at a signalized intersection within a VISSIM simulation environment. The results show that the proposed deep reinforcement learning method can get a number of stops benefits ranging from 5% to 94%, stop time benefits ranging from 1% to 99%, and delay benefits ranging from −17% to 93%, respectively compared with the traditional signal control method.

scholarly journals Control Method of Slipstream Gas Source System of a Propeller

2019 ◽  
Vol 267 ◽  
pp. 01001
Author(s):  
Jinchun Shi
Keyword(s):  
Control Method ◽  
Low Flow ◽  
Source Control ◽  
Whole Process ◽  
Gas Source ◽  
Compressed Gas ◽  
Flow Through ◽  
Great Energy ◽  
Large Flow ◽  
Stable Control

For the slipstream gas source control system of propeller, there is no mature application in China. The traditional slipstream gas source system manually realizes the stable control of gas and flow through the self-operated pressure reducing device. But this mode can only be used in the condition of small pressure and low flow, cannot meet the actual need of high pressure and large flow, and cannot monitor and automatically control the energy consumption of compressed gas and heating equipment, resulting in great energy waste. Based on the actual engineering conditions, and according to the characteristics, user requirements and work flow of the slipstream gas source system, this paper describes a new control method for the slipstream gas source system of a propeller in detail, which solves the issue of automatic control in the whole process and realizes the key technical point, rapid stabilizing of airflow pressure and temperature.

scholarly journals Practical Formation Control for Multiple Anonymous Robots System with Unknown Nonlinear Disturbances

2021 ◽  
Vol 11 (19) ◽  
pp. 9170
Author(s):  
Peng Xu ◽  
Jin Tao ◽  
Minyi Xu ◽  
Guangming Xie
Keyword(s):  
Theoretical Analysis ◽  
Mobile Robots ◽  
Distributed Control ◽  
Formation Control ◽  
Control Method ◽  
Control Law ◽  
Control Problems ◽  
Moving Target ◽  
Whole Process ◽  
Nonlinear Disturbances

This paper mainly investigates formation control problems for a group of anonymous mobile robots with unknown nonlinear disturbances on a plane, in which all robots can asymptotically converge to any formation patterns without collision, and maintain any required relative distance with neighboring robots. To solve this problem, all robots are modeled as kinematic points and can only acquire information from other robots and their targets. Furthermore, a flexible distributed control law is designed to solve the formation problem while no collisions between any robots can be guaranteed during the whole process. The outstanding feature of the proposed control method is that it can force all mobile robots to form not only uniform circle formations but also non-uniform and non-circular formations with moving target centers. At last, both theoretical analysis and numerical simulations show the feasibility of the proposed control law.

scholarly journals Distributed Finite-Time Bipartite Consensus for Multiagent System with Event-Triggered Control

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Haibo Xie ◽  
Zhengjiang Liu ◽  
Chengyong Yan ◽  
Shibo Zhou
Keyword(s):  
Finite Time ◽  
Control Method ◽  
Initial State ◽  
Consensus Control ◽  
Whole Process ◽  
Time Control ◽  
Consensus Values ◽  
Bipartite Consensus ◽  
Necessary And Sufficient ◽  
Event Triggered

This paper investigates the distributed finite-time event-triggered bipartite consensus control for multiagent systems over antagonistic networks. Under the constraint of energy conservation, a distributed nonlinear finite-time control protocol only depending upon local information is proposed coupled with event-triggered strategies, where controllers of agents at triggered instants are only updated to reduce the computation. It is proved that when the antagonistic network is structurally balanced with a spanning tree, a necessary and sufficient condition is established to guarantee all agents to reach consensus values with identical magnitude but opposite signs. More interestingly, the settling time depending on the initial state is obtained over the whole process. Comparing to asymptotic control algorithms, the proposed control method has better disturbance rejection properties and convergence rate. Simulations are given to demonstrate the effectiveness of the theoretical results.

A New Model-Free Stability-Based Cognitive Control Method

2014 ◽  
Author(s):  
Xi Nowak ◽  
Dirk Söffker
Keyword(s):  
Control Method ◽  
Mimo System ◽  
Equilibrium Points ◽  
Optimization Method ◽  
Control Input ◽  
Adaptive Stabilization ◽  
Whole Process ◽  
Model Free ◽  
Stabilization Control ◽  
And Performance

This contribution considers a new realization of the cognitive stabilizer, which is an adaptive stabilization control method based on a cognition-based framework. It is assumed, that the model of the system to be controlled is unknown. Only the knowledge about the system inputs, outputs, and equilibrium points are the preliminaries assumed within this approach. A new improved realization of the cognitive stabilizer is designed in this contribution using 1) a neural network estimating suitable inputs according to the desired outputs, 2) Lyapunov stability criterion according to a certain Lyapunov function, and 3) an optimization method to determine the desired system outputs with respect to the system energy. The proposed cognitive stabilizer is able to stabilize an unknown nonlinear MIMO system at arbitrary equilibrium point of it. Suitable control input can be designed automatically to guarantee the stability of motion of the system during the whole process although the changing of the system behavior or the environment. Numerical examples are shown to demonstrate the successful application and performance of this method.

Study on the Intelligent Control of Springback in Stretch Bending Process Based on Neural Networks

2006 ◽  
Vol 532-533 ◽  
pp. 604-607
Author(s):  
Yong Jun Wang ◽  
Jun Biao Wang ◽  
Sheng Min Wei ◽  
Jiang Jun Jiang
Keyword(s):  
Mechanical Properties ◽  
Neural Networks ◽  
Friction Coefficient ◽  
Intelligent Control ◽  
Process Parameters ◽  
Control Method ◽  
Friction Condition ◽  
Whole Process ◽  
Stretch Bending ◽  
Bending Process

In extrusion stretch bending process, there are many factors which affect springback of the workpiece such as mechanical properties of the material, friction condition and process parameters. The springback of same batch of extrusion is different at same forming parameters because of the variation of the mechanical properties of the material and the friction condition. A method of intelligent control of springback in stretch bending process is proposed by using ANN(artificial neural networks). The online identification model of the mechanical properties of the material and friction coefficient and the online prediction control model of springback of workpiece in stretch bending process are established by using ANN ,which are trained by the data of analysis calculation. It realizes the intelligent control on springback of stretch bending to online identify the material properties and friction coefficient and predict springback and adjust process parameters dynamically through the whole process of stretch bending. The results from the experiment state that the intelligent control method can suit the variation of mechanical properties of material and friction condition and improve the geometry precision.

Simulation Calculation and Construction Control of Xiaolan Channel Super Large Bridge

2013 ◽  
Vol 655-657 ◽  
pp. 1893-1896
Author(s):  
Jun Jiang ◽  
Hong Ye Gou ◽  
Jun Ming Wang
Keyword(s):  
High Speed ◽  
Control Method ◽  
Three Dimensional ◽  
Calculation Model ◽  
Construction Control ◽  
Construction Process ◽  
Railway Line ◽  
Whole Process ◽  
Simulation Calculation ◽  
Control Research

Xiaolan channel super large bridge is a stucture type adopted in the passenger dedicated railway line for the first time, and the longest span bridge of the passenger dedicated railway line, also the longest span bridge of the high-speed railway in the world with a total length of 7686.57m.. At first, the author compiles APDL command flow program by using the unit birth-death technique, establishes simulation calculation model in the construction process. The creep characteristics of concrete are also taken into account. The whole process of beam first-to-arch later stage construction are calculated and studied. Simulation Calculation and construction control research of Xiaolan channel super large bridge shows that construction control method is reasonable, the calculation program which is used in the paper is right, and using three dimensional substantiality finite element method and “element birth and death” to simulate construction process conform to reality. The bridge is safe in the construction of beam first and arch late.

scholarly journals Zero-Disturbance Control of Free-Floating Space Manipulators Using Integral-Type Sliding Mode Control

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Heping Li ◽  
Ren Li
Keyword(s):  
Motion Control ◽  
Control Method ◽  
Sliding Mode ◽  
Nonholonomic Constraints ◽  
Momentum Conservation ◽  
Underactuated System ◽  
Spacecraft Attitude ◽  
Integral Type ◽  
Whole Process ◽  
Space Manipulators

A free-floating space manipulator is an underactuated system, of which the spacecraft is permitted to rotate freely in response to the manipulator motions. The dynamic coupling property between the spacecraft and the manipulator makes motion control of such systems a significant challenge. In the paper, a zero-disturbance control method for free-floating space manipulators operating in task space is presented. An explicit direct relationship between the spacecraft attitude quaternions and the manipulator joint variables is established using nonholonomic constraints of the angular momentum conservation. By this means the kinematic redundancy of the system is used to adjust the spacecraft attitude. An integral-type sliding mode controller with adaptive switching gains is developed for coordinated motion control of the spacecraft and the manipulator. Simulations on three-link planar model show that the spacecraft remains undisturbed during the whole process of manipulations, which confirms the effectiveness of the proposed method.

scholarly journals Multimodel Anomaly Identification and Control in Wet Limestone-Gypsum Flue Gas Desulphurization System

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-17
Author(s):  
Xiaoli Li ◽  
Quanbo Liu ◽  
Kang Wang ◽  
Fuqiang Wang ◽  
Guimei Cui ◽  
...  
Keyword(s):  
Flue Gas ◽  
Sulphur Dioxide ◽  
High Performance ◽  
Power Plants ◽  
Control Method ◽  
Control Strategies ◽  
Air Pollutant ◽  
Process Data ◽  
Whole Process ◽  
Flue Gas Desulphurization

Sulphur dioxide, as one of the most common air pollutant gases, brings considerable numbers of hazards on human health and environment. For the purpose of reducing the detrimental effect it brings, it is of urgent necessity to control emissions of flue gas in power plants, since a substantial proportion of sulphur dioxide in the atmosphere stems from flue gas generated in the whole process of electricity generation. However, the complexity and nondeterminism of the environment increase the occurrences of anomalies in practical flue gas desulphurization system. Anomalies in industrial desulphurization system would induce severe consequences and pose challenges for high-performance control with classical control strategies. In this article, based on process data sampled from 1000 MW unit flue gas desulphurization system in a coal-fired power plant, a multimodel control strategy with multilayer parallel dynamic neural network (MPDNN) is utilized to address the control problem in the context of different anomalies. In addition, simulation results indicate the applicability and effectiveness of the proposed control method by comparing with different cases.

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