Attitude Correction System and Cooperative Control of Tunnel Boring Machine

2018 ◽  
Vol 32 (11) ◽  
pp. 1859018
Author(s):  
Zhihuan Zhang ◽  
Longhua Ma
Keyword(s):  
Trajectory Tracking ◽  
Cooperative Control ◽  
Fuzzy Rule ◽  
Tunnel Boring Machine ◽  
Pressure Control ◽  
Research Area ◽  
Real Time Control ◽  
Tunnel Boring ◽  
Time Control ◽  
Correction System

Recently, trajectory misalignment of tunnel boring machine (TBM) has become a key research area. Although TBMs have been extensively applied in tunneling, hunting motion remains due to inhomogeneous ground encountered during tunneling, TBM structures and ambiguity in attitude correction mechanism. In this paper, TBM attitude correction and motion are studied, and optimized fuzzy rule is obtained by taking into account various TBM constraints and the universe of fuzzy control; then, cooperative control over cylinders in various sections is proposed to reduce TBM trajectory tracking deviation from designed tunnel axis; moreover, a cascade control system combining outer-loop trajectory tracking and inner-loop pressure control is developed to enable unmanned automatic tunneling of the TBM. The practical application results reveal that the proposed system demonstrated accurate TBM attitude correction, high stability, strong engineering applicability and feasible real-time control.

Optimal Design for Fuzzy Controller by Ant Colony Algorithm

2010 ◽  
Vol 439-440 ◽  
pp. 1190-1196 ◽  
Author(s):  
Bao Jiang Zhao
Keyword(s):  
Ant Colony Algorithm ◽  
Inverted Pendulum ◽  
Fuzzy Controller ◽  
Fuzzy Rule ◽  
Ant Colony ◽  
Fuzzy Rules ◽  
Real Time Control ◽  
Time Control ◽  
Information Updating ◽  
Fuzzy Logical

Fuzzy logical controller is one of the most important applications of fuzzy-rule-based system that models the human decision processing with a collection of fuzzy rules. In this paper, an adaptive ant colony algorithm is proposed based on dynamically adjusting the strategy of selection of the paths and the strategy of the trail information updating. The algorithm is used to design a fuzzy logical controller automatically for real-time control of an inverted pendulum. In order to avoid the combinatorial explosion of fuzzy rules due to multivariable inputs, state variable synthesis scheme is employed to reduce the number of fuzzy rules greatly. Experimental results show that the designed controller can control actual inverted pendulum successfully.

Research on Airbags Overturning Device due to the PID Closed-Loop Control Technology

2013 ◽  
Vol 313-314 ◽  
pp. 395-398
Author(s):  
De Qiang Zhang ◽  
Li Ying Su ◽  
Duo Xing Zhao
Keyword(s):  
Control System ◽  
Closed Loop ◽  
Pressure Sensors ◽  
Pressure Control ◽  
Closed Loop Control ◽  
Control Technology ◽  
Real Time Control ◽  
Loop Control ◽  
Time Control ◽  
Pressure Control System

Based on S7-200 PLC, pressure sensors and amplifiers, this paper uses PID instruction to establish the closed-loop pressure control system of the required thrust in turning airbags. So in the automatic overturning airbags, it is capable to real-time control the push rods running status.

Regulation response of pilot operated diaphragm pressure reducing valves: laboratory testing and impact on the performance of pressure control modes in water distribution systems

2021 ◽  
Author(s):  
Mouna Doghri ◽  
Sophie Duchesne ◽  
Annie Poulin ◽  
J.-P. Villeneuve
Keyword(s):  
Distribution Systems ◽  
Water Distribution ◽  
Water Distribution Systems ◽  
Pressure Control ◽  
Quebec City ◽  
Real Time Control ◽  
Hydraulic Simulation ◽  
Pressure Setting ◽  
Time Control ◽  
The Impact

Pressure control is recognized as an efficient measure to reduce leaks from water distribution systems. The effectiveness of various pressure control modes, by means of pilot operated diaphragm pressure reducing valves (PRVs), is evaluated in this paper taking into account the sensitivity of the valve to various settings. First, the response of a PRV to consecutive pressure settings variations was experimentally evaluated in the hydraulic simulation laboratory of National Institute for Scientific Research (INRS). These experiments revealed that the studied valve reacts only when the pressure setting variation corresponds to at least 1/6 turn of the pilot valve. Second, a real case study from Quebec City, Canada, was simulated in order to evaluate the impact of the PRV response on three pressure control modes: fixed control, time based control, and real time control (RTC). The results show that RTC of pressure leads to leakage rate reduction on the studied network but that the PRV operational constraints limit the expected performance of RTC.

A CLOSED LOOP PERFUSION BIOREACTOR FOR DYNAMIC HYDROSTATIC PRESSURE LOADING AND CARTILAGE TISSUE ENGINEERING

2016 ◽  
Vol 16 (03) ◽  
pp. 1650025 ◽  
Author(s):  
CHRISTIAN SCHRÖDER ◽  
ANDREAS HÖLZER ◽  
GE ZHU ◽  
MATTHIAS WOICZINSKI ◽  
OLIVER B. BETZ ◽  
...  
Keyword(s):  
Tissue Engineering ◽  
Hydrostatic Pressure ◽  
Control Cell ◽  
Cartilage Tissue Engineering ◽  
Continuous Cultivation ◽  
Pressure Control ◽  
Cartilage Tissue ◽  
Pressure Loading ◽  
Real Time Control ◽  
Time Control

In the present study, a novel bioreactor for dynamic hydrostatic pressure loading that simultaneously permits medium perfusion was established. This bioreactor enables continuous cultivation without manual attendance. Additional emphasis was placed on a simple bioreactor design which was achieved by pressurizing the medium directly and by applying pressure loading and perfusion through the same piping. Straight forward pressure control and at the same time maintaining sterility were achieved by using a peristaltic pump including inlet and outlet magnetic pinch valves connected with a real-time control. Cell tests using chondrocytes were performed and similar cell proliferation rates in the bioreactor and in the incubator were found. We conclude that the novel bioreactor introduced here, has the potential to be easily applied for cartilage tissue engineering on a larger scale.

scholarly journals Research for Nonlinear Model Predictive Controls to Laterally Control Unmanned Vehicle Trajectory Tracking

2020 ◽  
Vol 10 (17) ◽  
pp. 6034 ◽  
Author(s):  
Kegang Zhao ◽  
Chengxia Wang ◽  
Guoquan Xiao ◽  
Haolin Li ◽  
Jie Ye ◽  
...  
Keyword(s):  
Real Time ◽  
Nonlinear Model ◽  
Trajectory Tracking ◽  
Autonomous Driving ◽  
Real Time Control ◽  
Unmanned Vehicle ◽  
Time Control ◽  
Control Optimization ◽  
Vehicle Trajectory ◽  
Rolling Optimization

The autonomous driving is rapid developing recently and model predictive controls (MPCs) have been widely used in unmanned vehicle trajectory tracking. MPCs are advantageous because of their predictive modeling, rolling optimization, and feedback correction. In recent years, most studies on unmanned vehicle trajectory tracking have used only linear model predictive controls to solve MPC algorithm shortcomings in real time. Previous studies have not investigated problems under conditions where speeds are too fast or trajectory curvatures change rapidly, because of the poor accuracy of approximate linearization. A nonlinear model predictive control optimization algorithm based on the collocation method is proposed, which can reduce calculation load. The algorithm aims to reduce trajectory tracking errors while ensuring real-time performance. Monte Carlo simulations of the uncertain systems are carried out to analyze the robustness of the algorithm. Hardware-in-the-loop simulation and actual vehicle experiments were also conducted. Experiment results show that under i7-8700, the calculation time is less than 100 ms, and the mean square error of the lateral deviation is maintained at 10−3 m2, which proves the proposed algorithm can meet the requirement of real time and accuracy in some particular situations. The unmanned vehicle trajectory tracking method provided in this article can meet the needs of real-time control.

Experimental Studies on Pressure Control Using Intelligent PI Fuzzy Supervisory Approach

2008 ◽  
Vol 4 (2) ◽  
Author(s):  
Palani Sivashanmugam ◽  
N. Kanagaraj ◽  
R. Kumar
Keyword(s):  
Control Method ◽  
Fuzzy Controller ◽  
Experimental Studies ◽  
Pressure Control ◽  
Operating Conditions ◽  
Real Time Control ◽  
Time Control ◽  
Executable File ◽  
Pressure Control System ◽  
Tank Pressure

Fuzzy supervisory control scheme for regulating the tank pressure in a pilot pressure control system has been presented. The controller structure has been designed in such a way as to adjust on-line the parameters of a classical PI controller that will reduce the human involvement in tuning the controller parameters at different operating conditions. The control algorithm for the proposed scheme has been developed using KEIL software and then converted into an executable file before downloading it to an ARM7 (AT91M55800A) based embedded target board. The pipeline execution and RISC architecture of ARM7 target board enhances the computation speed in real time control applications. Experimental study has been carried out to test the performance of the proposed supervisory fuzzy controller and the results were compared with classical control method. Better control performance using supervisory fuzzy controller has been obtained.

Real Time Pressure Control in Pneumatic Actuators

2015 ◽  
Vol 669 ◽  
pp. 335-344 ◽  
Author(s):  
Peter Šmeringai ◽  
Miroslav Rimár ◽  
Marcel Fedák ◽  
Štefan Kuna
Keyword(s):  
Real Time ◽  
Time Pressure ◽  
Pressure Control ◽  
Artificial Muscles ◽  
Experimental Facility ◽  
Real Time Control ◽  
Pneumatic Actuators ◽  
Time Control ◽  
Pneumatic Artificial Muscles ◽  
Pressure Changes

This paper explains the design of real-time control system for drives which use a pneumatic artificial muscles. Described is the design of hardware and software equipment, as well as design of these components involvement in the experimental facility with artificial muscles. In this paper are referred experimental measurements on the device aimed at monitoring the changes in observed PAMs characteristics caused by pressure changes in artificial muscles during their operation.

scholarly journals Strategies for the electric regulation of pressure control valves

2017 ◽  
Vol 19 (5) ◽  
pp. 621-639 ◽  
Author(s):  
Orazio Giustolisi ◽  
Rita M. Ugarelli ◽  
Luigi Berardi ◽  
Daniele B. Laucelli ◽  
Antonietta Simone
Keyword(s):  
Real Time ◽  
Water Distribution ◽  
Pressure Control ◽  
Distribution Networks ◽  
Real Time Control ◽  
Major Drawback ◽  
Control Valves ◽  
Time Control ◽  
Information And Communication ◽  
Target Pressure

In water distribution networks (WDNs), the classic pressure control valves (PCVs) are mechanical/hydraulic devices aimed at maintaining the target pressure just downstream or upstream of the PCV pipe, namely pressure reduction or sustaining valves. From a modelling standpoint, the major drawback of such local control is that classic PCVs may require target pressure varying over time with the pattern of delivered water because the controlled node is not strategic for the optimal WDN pressure control. Current information and communication technology allows transferring streams of pressure data from any WDN node to the PCV. Thus, remotely real-time control (RRTC) permits real-time electric regulation of PCVs to maintain a fixed target pressure value in strategic critical nodes, resulting in optimal control of pressure and background leakages. This paper shows three strategies for the electric regulation of RRTC PCVs, which use as control variables the shutter opening degree (SD), the valve hydraulic resistance (RES) and the valve head loss (HL). The Apulian network is used to compare the three strategies, while the application on the real Oppegård WDN yields further discussions. Results show that HL and RES strategies outperform SD; constraining the maximum shutter displacement helps SD stability although it still needs calibration.

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