scholarly journals Research on Construction Method of Operational Reliability Control Model for Space Manipulator Based on Particle Filter

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Xin Gao ◽  
Yifan Wang ◽  
Hanxu Sun ◽  
Qingxuan Jia ◽  
Xiaojian Yang ◽  
...  
Keyword(s):  
Particle Filter ◽  
Control Method ◽  
Operational Reliability ◽  
Control Model ◽  
Control Methods ◽  
Space Manipulator ◽  
Performance Function ◽  
Model Based ◽  
Simulation Results ◽  
A Performance

The operational reliability of the space manipulator is closely related to the control method. However the existing control methods seldom consider the operational reliability from the system level. A method to construct the operational reliability system control model based on particle filter for the space manipulator is presented in this paper. Firstly, the definition of operational reliability and the degree of operational reliability are given and the state space equations of the control system are established as well. Secondly, based on the particle filter algorithm, a method to estimate the distribution of the end position error and calculate the degree of operational reliability with any form of noise distribution in real time is established. Furthermore, a performance model based on quality loss theory is built and a performance function is obtained to evaluate the quality of the control process. The adjustment value of the end position of the space manipulator can be calculated by using the performance function. Finally, a large number of simulation results show that the control method proposed in this paper can improve the task success rate effectively compared to the simulation results using traditional control methods and control methods based on Bayesian estimation.

scholarly journals Research on Control Method Based on Real-Time Operational Reliability Evaluation for Space Manipulator

2014 ◽  
Vol 6 ◽  
pp. 179293 ◽  
Author(s):  
Yifan Wang ◽  
Xin Gao ◽  
Hanxu Sun ◽  
Qingxuan Jia ◽  
Wencan Zhao ◽  
...  
Keyword(s):  
State Space ◽  
Real Time ◽  
Process Parameters ◽  
Bayesian Method ◽  
Control Method ◽  
Control Variable ◽  
Reliability Evaluation ◽  
Operational Reliability ◽  
Space Manipulator ◽  
Space Equation

A control method based on real-time operational reliability evaluation for space manipulator is presented for improving the success rate of a manipulator during the execution of a task. In this paper, a method for quantitative analysis of operational reliability is given when manipulator is executing a specified task; then a control model which could control the quantitative operational reliability is built. First, the control process is described by using a state space equation. Second, process parameters are estimated in real time using Bayesian method. Third, the expression of the system's real-time operational reliability is deduced based on the state space equation and process parameters which are estimated using Bayesian method. Finally, a control variable regulation strategy which considers the cost of control is given based on the Theory of Statistical Process Control. It is shown via simulations that this method effectively improves the operational reliability of space manipulator control system.

Simulation of Control Model Based on Optimal Structure of HOPFIELD Neural Network

2014 ◽  
Vol 556-562 ◽  
pp. 2370-2374
Author(s):  
Jing Liu
Keyword(s):  
Neural Network ◽  
Development Strategy ◽  
Financial System ◽  
Hopfield Neural Network ◽  
Control Model ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Model Based ◽  
Simulation Results ◽  
Carbon Finance

Carbon finance is the core module of the future development of low carbon economy; it is a new type of competitive force in the construction of long-term sustainable development strategy for global financial institutions. Its development degree directly restricts the healthy development of multiple fields related to carbon finance. In this paper we firstly analyze the market structure characteristics of carbon finance based on international experience, and summary Chinese problems of carbon finance according to the domestic status. On the basis we introduce artificial neural network of P.K.Simpson, and construct the carbon financial control model based on neural network prediction. In order to verify the scientific and practicability of this model, we build dynamic behavior simulation model of carbon financial system. The simulation results show that the model can make accurate predictions on scientific decision on carbon financial system application, and the simulation results are relatively complete.

Comparative Study on Control Methods for Air Conditioning of Industrial Paint Booths

2019 ◽  
Vol 11 (11) ◽  
pp. 1053-1059
Author(s):  
Murat Ayaz ◽  
Volkan Aygül ◽  
Ferhat Düzenli˙ ◽  
Erkutay Tasdemi˙rci˙
Keyword(s):  
Adaptive Control ◽  
Automotive Industry ◽  
Air Conditioning ◽  
Control Method ◽  
Ventilation System ◽  
Hvac Systems ◽  
Control Methods ◽  
Control Applications ◽  
Time Simulation ◽  
Simulation Results

It is of great importance that each product in industrial production facilities is to be produced in the same quality and standard. Especially in the automotive industry, the painting process needs to be done under certain environmental conditions according to the paint properties used. Therefore, the temperature, humidity and air quality values of the paint booth are very important for a quality painting operation. In this study, adaptive control has been proposed to control of one-zone heating-ventilation system for the paint booths. The system has been modelled by using the Matlab/Simulink. Performance of the proposed control method has been compared with conventional control methods such as On/Off, PID, fuzzy logic in terms of accuracy, efficiency and response time. Simulation results show that the proposed adaptive control is effective in the Heating, Ventilating, and Air Conditioning (HVAC) systems temperature control applications. In addition, energy efficiency in HVAC systems has been provided with the proposed control model. Furthermore, thermal analysis of the system has been done to corroborate simulation results.

FLUENT/SIMULINK Collaborative Simulation for Missile Separation from Cavity

2012 ◽  
Vol 591-593 ◽  
pp. 1902-1906
Author(s):  
Tong Han ◽  
Shang Qin Tang ◽  
Chang Qiang Huang ◽  
Kang Sheng Dong
Keyword(s):  
Control System ◽  
Closed Loop ◽  
Control Method ◽  
Data File ◽  
Control Model ◽  
Collaborative Simulation ◽  
Coupled Problem ◽  
System A ◽  
Share Data ◽  
Simulation Results

In order to solve the dynamics and kinematics highly coupled problem which exists in missile separating from cavity and in order to acquire accurate trajectory parameters and import control system, a parallel collaborative simulation platform was established. The data interface between FLUENT and SIMULINK was developed by the way of share data file, which use the Journal file of FLUENT and S-function of SIMULINK. The missile’s rudder control model was established. The aerodynamics characters and trajectory characters during missile separating from cavity were simulated under uncontrolled and closed-loop controlled conditions. The simulation results verify the feasibility of parallel collaborative simulation and show that rudder control method can effectively improve the characteristics of missile separating from cavity.

scholarly journals RBF Nonsmooth Control Method for Vibration of Building Structure with Actuator Failure

Complexity ◽  
2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Jianhui Wang ◽  
Chunliang Zhang ◽  
Houyao Zhu ◽  
Xiaofang Huang ◽  
Li Zhang
Keyword(s):  
Control Method ◽  
Rbf Neural Network ◽  
Structural Vibration ◽  
Stable Theory ◽  
Control Methods ◽  
Building Structure ◽  
Control Effect ◽  
Actuator Failure ◽  
Lqr Control ◽  
Simulation Results

In order to accommodate the actuator failure, the finite-time stable nonsmooth control method with RBF neural network is used to suppress the structural vibration. The traditional designed control methods neglect influence of actuator failure in structural vibration. By Lyapunov stable theory, the designed control method is demonstrated to suppress the building structural vibration with actuator failure. Finally, there are some examples to numerically simulate the three-layer building structure which is affected by El Centro seismic wave. Control effect of nonsmooth control is compared with no control and LQR control. The simulation results demonstrate that the designed control method is great for vibration of building structure with actuator failure and great antiseismic effect.

Guidance and Control Research on Underwater Unpowered Anti-Submarine Weapons

2013 ◽  
Vol 648 ◽  
pp. 323-327
Author(s):  
Jian Xiong
Keyword(s):  
Control Method ◽  
Control Model ◽  
Control Methods ◽  
Motion Model ◽  
Projectile Motion ◽  
Guidance And Control ◽  
Control Research ◽  
Double Plane ◽  
And Control ◽  
Control Trajectory

According to the underwater ballistic characteristics of unpowered anti-submarine weapon, double plane guidance of self-correcting ahead angle and tracing method was adopted. This paper established homing model, guidance, control model and the motion model of unpowered antisubmarine weapon. In typical combat situations, it carried out simulation about underwater guidance and control trajectory. Projectile motion properties were analyzed and it verified effectiveness of the guidance and control methods, it provided a basis for underwater trajectory planning, guidance and control method.

scholarly journals A Hierarchical Reliability Control Method for a Space Manipulator Based on the Strategy of Autonomous Decision-Making

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Xin Gao ◽  
Yifan Wang ◽  
Hanxu Sun ◽  
Qingxuan Jia ◽  
Gang Chen ◽  
...  
Keyword(s):  
Control Method ◽  
Control Level ◽  
Control Variable ◽  
Control Process ◽  
Operational Reliability ◽  
System Control ◽  
Related Factors ◽  
Space Manipulator ◽  
Factors Affecting ◽  
Reliability Control

In order to maintain and enhance the operational reliability of a robotic manipulator deployed in space, an operational reliability system control method is presented in this paper. First, a method to divide factors affecting the operational reliability is proposed, which divides the operational reliability factors into task-related factors and cost-related factors. Then the models describing the relationships between the two kinds of factors and control variables are established. Based on this, a multivariable and multiconstraint optimization model is constructed. Second, a hierarchical system control model which incorporates the operational reliability factors is constructed. The control process of the space manipulator is divided into three layers: task planning, path planning, and motion control. Operational reliability related performance parameters are measured and used as the system’s feedback. Taking the factors affecting the operational reliability into consideration, the system can autonomously decide which control layer of the system should be optimized and how to optimize it using a control level adjustment decision module. The operational reliability factors affect these three control levels in the form of control variable constraints. Simulation results demonstrate that the proposed method can achieve a greater probability of meeting the task accuracy requirements, while extending the expected lifetime of the space manipulator.

scholarly journals Research on the operational reliability system control methodology and its application for aerospace mechanism

2016 ◽  
Vol 13 (6) ◽  
pp. 172988141667748 ◽  
Author(s):  
Xin Gao ◽  
Haoxin Wu ◽  
Mingtao Du ◽  
Gang Chen ◽  
Hanxu Sun ◽  
...  
Keyword(s):  
Control System ◽  
Path Planning ◽  
Influence Factors ◽  
Operational Reliability ◽  
Control Model ◽  
System Control ◽  
Space Manipulator ◽  
Operation Stability ◽  
And Control ◽  
Control Methodology

According to the characteristics of space missions and space environment, to slow performance deterioration and possible reliability attenuation for aerospace mechanisms, an operational reliability system control methodology is proposed in this article. A space manipulator – a kind of typical complicated aerospace mechanism – is chosen as the research object. First, considering relevant materials and structure mechanism of joint and link parts, the influence factors of operational reliability for space manipulator are divided. Then, by introducing the responding layer factors, a mapping relationship between the influence factors of operational reliability and control variables is analysed. On this basis, a new method to build a hierarchical control system of operational reliability for the aerospace mechanisms is proposed. In this method, the mechanism how the influence factors of operational reliability are introduced into the control system is defined, and an operational reliability system control model is built, which is made up of task planning, path planning, and motion control. Finally, the proposed methodology is further explained with the operational stability of a space manipulator as an example. After analysing the mapping relationship among the influence factors of operational reliability, the factors of responding layer and control variables, a multi-objective optimization method based on Nondominated Sorting Genetic Algorithm II (NSGA-II) is proposed to ensure the operation stability for a space manipulator. These optimization objectives are introduced into the optimized control model at path planning level as constraints. According to these constraints, the optimized control system can be adjusted to improve the operation stability of the manipulator, and the operational reliability is also improved during this process correspondingly. Simulation results prove the effectiveness of the proposed method.

Underwater Radiated-Noise Simulation Control Model Based on Propeller Influencing

2014 ◽  
Vol 651-653 ◽  
pp. 940-943
Author(s):  
Yang Ju ◽  
Zhe Zhang ◽  
Xin Yong Wang ◽  
Hai Sheng Xu
Keyword(s):  
Time Domain ◽  
Linear Difference Equation ◽  
Control Model ◽  
Control Methods ◽  
Dynamical Programming ◽  
Radiated Noise ◽  
Model Based ◽  
Underwater Radiated Noise ◽  
Noise Simulation ◽  
Underwater Target

Underwater target radiated-noise of time domain is significant important in underwater defense and security. Its simulation model based on propeller influencing is considered in this paper. Linear difference equation representing relationship between underwater target radiated-noise of time domain and propeller induced noise is fitted from the data. Dynamical programming is employed to investigate the control of the target radiated-noise. Experimental results show the efficiency of our model and the control methods.

Double Carrier Pulse width Modulation Control for a Quasi Impedance Source Inverter

2011 ◽  
Vol 29 (1) ◽  
pp. 143-146
Author(s):  
Amin Akrami ◽  
Mohsen Gitizadeh ◽  
Majid Nayeripour ◽  
Mohammad Ghaderi
Keyword(s):  
Pulse Width ◽  
Pulse Width Modulation ◽  
Control Method ◽  
Control Methods ◽  
Control Simulation ◽  
Simulation Results ◽  
Modulation Control

Double Carrier Pulse width Modulation Control for a Quasi Impedance Source Inverter The quasi-Z-source inverter (QZSI) is similar to the ZSI. The QZSI has been developed which feature several improvements and no disadvantages when compared to the ZSI. Also Double carrier pulse width modulation control is a new control method for controlling the ZSI and it has a lot of benefit if to compare with other traditional control methods. This paper improved properties of the QZSI by using the double carrier pulse width modulation control. Simulation results will be presented to demonstrate the new features.

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