Optimal Control for Vibration of Restrained Cantilever Fluid-Conveying Pipe

2013 ◽  
Vol 483 ◽  
pp. 409-418 ◽  
Author(s):  
Ri Dong Bao ◽  
Jun Feng Dong
Keyword(s):  
Optimal Control ◽  
Control Method ◽  
Work Conditions ◽  
Effective Control ◽  
Piping System ◽  
Control Effect ◽  
State Matrix ◽  
Optimal Position ◽  
Piezoelectric Patch ◽  
And Control

The cantilever fluid conveying pipe which restrained by linear spring and cubic nonlinear spring at its free end was studied and the nonlinear vibration of this piping system was carried out optimal control making use of piezoelectric patch as actuator. Firstly, the governing equations of the controlled system were derived out. Then the optimizer and mode sensor were schemed out. Finally, the control effect of the designed controller on system vibration was validated and analyzed through numerical simulation. The simulation results showed that the designed optimal controller can actualize effective control for the monocyclic motion, multi-cyclic motion and chaotic motion of the pipe conveying system. Meanwhile, the effect of state weight-matrix and control energy weighing coefficients on control performance of system, the influence of the position and length of piezoelectric patch on minimal performance index of system were also been under discussion. For practical application of this control method, we should synthetically consider all of the practical conditions and demands to select the optimal position and length of piezoelectric patch and the optimal weight value of state matrix and control energy according to different work conditions.

Study on Multimode Intelligent Control for Ship Steering System

2011 ◽  
Vol 58-60 ◽  
pp. 2621-2633
Author(s):  
Ming Hui Wang ◽  
Yong Quan Yu ◽  
Bi Zeng
Keyword(s):  
Neural Network ◽  
Fuzzy Control ◽  
Intelligent Control ◽  
Control Method ◽  
Control Process ◽  
Steering System ◽  
Learning Ability ◽  
Effective Control ◽  
Control Effect ◽  
Ship Steering

The ship motion is characterized by nonlinearity, time varying, uncertainty and complex interference from the environment, therefore there are certain limits in conventional PID control and self-adapting control for ship steering system. This paper combines three intelligent control technologies, that is, fuzzy control, neural network and extension control, to propose a multimode intelligent control method. Fuzzy control is utilized to solve control problem of uncertainty system, and learning ability of neural network is utilized to optimize the controller parameters. A new multi-mode transition controller based on extension control is presented and well designed in this paper, which may realize smooth switching during control process. In order to satisfy the requirements of higher accuracy and faster response of complex system, every control strategy designed can realize ideal control effect within the scope of its effective control. The simulation experiment is made to test dynamic and static performances of ship steering system under model parameter perturbation and wave interference. The simulation results show that the control system achieves satisfactory performances by implementing the multimode intelligent control.

scholarly journals Using LQG/LTR Optimal Control Method to Improve Stability and Performance of Industrial Gas Turbine System

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Fereidoon Shabaninia ◽  
Kazem Jafari
Keyword(s):  
Optimal Control ◽  
Power Plant ◽  
Gas Turbine ◽  
Gas Turbines ◽  
Oil And Gas ◽  
Control Method ◽  
Effective Control ◽  
Optimal Control Method ◽  
Process Plants ◽  
And Performance

The gas turbine is a power plant, which produces a great amount of energy for its size and weight. Its compactness, low weigh, and multiple fuels make it a natural power plant for various industries such as power generation or oil and gas process plants. In any of these applications, the performance and stability of the gas turbines are the end products that strongly influence the profitability of the business that employs them. Control and analyses of gas turbines for achieving stability and good performance are important so that they have to operate for prolong period. Effective control system design usually benefits from an accurate dynamic model of the plant. Characteristic component parts of the system are considered in this model. Gas turbine system is described by specified thermodynamic equations that can be used for defining its model. This paper introduces an optimal LQG/LTR control method for a gas turbine. Analysing the gas turbine dynamic in time and frequency domain by using proposed control compared to PID controller is followed. Applying this optimal control method can provide good performance and stability for the component parts of system.

Study of Alumina Concentration Control Based on Intelligent Characteristic Model

2011 ◽  
Vol 317-319 ◽  
pp. 1314-1317 ◽  
Author(s):  
Tian Pei Zhou
Keyword(s):  
Control Method ◽  
Good Control ◽  
Aluminum Production ◽  
Alumina Concentration ◽  
Analysis Model ◽  
Control Effect ◽  
Characteristic Model ◽  
Electrolytic Aluminum Production ◽  
And Control ◽  
Measurement And Control

In electrolytic aluminum production processing, the measurement and control of alumina concentration is one of the three most important control aims. However, due to alumina concentration can not be measured directly and continuously online, and electrolytic aluminum production process is nonlinear, time-varying and large delay, which can not be described through the mathematical analysis model. Therefore, efficient and reliable development of alumina concentration control method is very important. In view of the above problems, alumina concentration is controlled by intelligent characteristic model and single neural adaptive PID controller, which achieve a good control effect.

Positioning Control System Based on ZPETC and Optimal Control Method for Plant with Dead-Time

2012 ◽  
Vol 152-154 ◽  
pp. 1795-1800
Author(s):  
Junichi Endo ◽  
Kazuhiro Sasaki ◽  
Kazusa Matsumoto ◽  
Hiroki Shibasaki ◽  
Yoshihisa Ishida
Keyword(s):  
Optimal Control ◽  
Dead Time ◽  
Control Method ◽  
Phase Error ◽  
Smith Predictor ◽  
Experimental Result ◽  
Positioning Control ◽  
Optimal Control Method ◽  
Modified Smith Predictor ◽  
And Control

In this paper, a method for positioning control based on zero phase error tracking controller (ZPETC), optimal control method for plant with dead-time is proposed. A discrete transformed unstable plant is composed of unstable zeros and poles. In the proposed method, we subject stabilization of a plant by optimal control method, compose inverse model of a system with unstable zeros by ZPETC and control a plant with dead-time by predicted-state feedback technique and modified smith predictor composed of a predictor and an observer. In addition, optimal control method achieves good robustness for modeling errors by adjusting the weight of the LQR-scheme. The simulation studies and the experimental result, it is shown that the proposed method is effective for these plants and DC motor.

scholarly journals Design and Control of a Novel Single Leg Structure of Electrically Driven Quadruped Robot

2020 ◽  
Vol 2020 ◽  
pp. 1-12 ◽  
Author(s):  
Mingfang Chen ◽  
Hao Chen ◽  
Xuejun Wang ◽  
JiangXuan Yu ◽  
YongXia Zhang
Keyword(s):  
Control Method ◽  
Good Control ◽  
Quadruped Robot ◽  
Structure Design ◽  
The Body ◽  
Interpolation Algorithm ◽  
Control Effect ◽  
Simulation And Experiment ◽  
Control Principle ◽  
And Control

In order to solve the defects of the large inertia and control difficulty of the electrically driven quadruped legs of robots, a novel leg structure and a control method are proposed in this paper. In terms of structure, the motor of the knee is arranged in the body of the robot to reduce the weight of the legs. In addition, this paper improves the PVT difference control algorithm embedded in the PMAC controller. Using the nonlinear control principle of the U-model, the optimized segmented Hermite difference method is used to implement the planning of the foot trajectory of the quadruped robot. Simulation and experiment show that the leg structure design is reasonable and the improved interpolation algorithm has good control effect.

A Cellular Automata Model for Dynamics and Control of Cardiac Arrhythmias

2020 ◽  
Author(s):  
Danny Gallenberger ◽  
Min Xiong ◽  
Tony Z. Zhuang ◽  
Kai Sun ◽  
Elena G. Tolkacheva ◽  
...  
Keyword(s):  
Cellular Automata ◽  
Cardiac Arrhythmias ◽  
Control Method ◽  
Sudden Cardiac Arrest ◽  
Significant Proportion ◽  
The United States ◽  
Effective Control ◽  
Dynamics And Control ◽  
Ca Model ◽  
And Control

Abstract As a leading cause of death in 325,000 adults per year in the United States, a significant proportion of sudden cardiac arrest (SCA) result from arrhythmias. To better understand the onset of arrhythmias and its potential treatment with more rapid and effective control approaches, a two-dimensional 50 × 50 cellular automata (CA) model is used in this study to illustrate the propagation of electrical waves across its tissue, and a constant diastolic interval (DI) control mechanism is adopted to help stabilize and prevent cardiac arrhythmias. Simulations of various scenarios including normal conduction and spiral waves in the presence of scar, normal conduction and alternans under control conditions are shown. The results validate that the CA model and constant DI control method are very efficient and effective in the study of dynamics and control of cardiac arrhythmias.

Application of Intelligent Characteristic Model in Alumina Concentration Control System

2011 ◽  
Vol 328-330 ◽  
pp. 1837-1840
Author(s):  
Tian Pei Zhou
Keyword(s):  
Control Method ◽  
Good Control ◽  
Aluminum Production ◽  
Analysis Model ◽  
Control Effect ◽  
Characteristic Model ◽  
Density Control ◽  
Electrolytic Aluminum Production ◽  
And Control ◽  
Measurement And Control

In electrolytic aluminum production processing, the measurement and control of alumina density is one of the three most important control aims. However, due to alumina density can not be measured directly and continuously online, and electrolytic aluminum production process is nonlinear, time-varying and large delay, which can not be described through the mathematical analysis model. Therefore, efficient and reliable development of alumina density control method is very important. In this paper, alumina density is controlled by single neural adaptive PID controller in electrolytic aluminum production processing, and alumina density based on intelligent characteristic model is established by using the intelligent characteristic model method, takes the model as the control model, alumina density is controlled combination of the two advantage, which achieve a good control effect.

Steel Box Girder - Steel Tube Arch Bridge Fall-Girder System Conversion Technology Construction Control Research

2014 ◽  
Vol 501-504 ◽  
pp. 1390-1397
Author(s):  
Kai Zhong Xie ◽  
Feng Fan ◽  
Xian Zhi Huang
Keyword(s):  
Optimal Control ◽  
Control Method ◽  
Steel Tube ◽  
System Transformation ◽  
Bridge Construction ◽  
Monitoring Method ◽  
Box Girder ◽  
Arch Bridge ◽  
Steel Box Girder ◽  
And Control

In order to make steel box girder - steel tube arch bridge into the bridge state more reasonable, this paper studies the construction monitoring method regarding the fall girder method adopted to conduct system transformation. Using optimal control theory to determine the fall girder method girder jack-up height, control the line shape and stress of arch and girder and derrick force, and control the Vietnam Da Nang Dragon Bridge construction process. Studies have shown that fall girder method to conduct the system conversion can meet the design requirements, and optimal control method in fall girder method system conversion can obtain good effects. Fall girder method and optimization control method is worth extending to the similar bridge construction and control.

scholarly journals Modeling and Simulation of Ship-Borne Weapon Stabilization System Based On Double Position Loop Control

2021 ◽  
Vol 2066 (1) ◽  
pp. 012107
Author(s):  
Pu Dai ◽  
Jun Pan ◽  
Yan Cao ◽  
Qing Ma ◽  
Manli Du
Keyword(s):  
Control Method ◽  
Good Control ◽  
Weapon System ◽  
Stabilization System ◽  
Control Effect ◽  
Loop Control ◽  
Stabilization Control ◽  
System A ◽  
And Control ◽  
Ship Rolling

Abstract In order to solve the problem of increasing system cost and low control accuracy by adding gyroscope or inertial navigation system, a dual position loop control ship-borne stabilization system is proposed in the paper. The mathematical model is established to analyze the influence of ship rolling factors on the space pointing of single position loop weapon system. On this basis, the control strategy of double position loop is proposed, and the simulation structure and control method of inner position loop and double position loop are described respectively. The simulation results show that the method can isolate the factors of ship rolling, realize the closed-loop stabilization control of weapon system in geodetic coordinate without adding system hardware cost, and have good control effect as well.

A Coordinative Steering Control Method Based on PID Compensation for an Electric Vehicle

2014 ◽  
Vol 644-650 ◽  
pp. 475-484
Author(s):  
Hao Qiu ◽  
Song Feng Liang
Keyword(s):  
Electric Vehicle ◽  
Control Method ◽  
Mathematic Model ◽  
Steering System ◽  
Control Parameters ◽  
Matlab Simulation ◽  
Steering Control ◽  
Control Effect ◽  
Excellent Control ◽  
And Control

This paper presents a coordinating steering control method in an Electric Vehicle with Four-in-Wheel-Motors Drive and Four-Wheel Independent Steering. This control method applied a PID compensation to solve the absonant steering problem. This research builds a mathematic model for the control system and uses the Matlab simulation to verify the feasibility and control effect. Then it is applied in a real car environment for further experiment in which the paper studies the control effect with varied control parameters. According to the analysis of the experiment, a practical solution for steering System is proposed with excellent control effect.

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