Design of a Self-Tunning Temperature Controller for a Coal Sample Burning Point Detecting Instrument

2011 ◽  
Vol 103 ◽  
pp. 354-360
Author(s):  
Xiao Yan Chen ◽  
Chao Yi Dong ◽  
Guang Zhi Dai
Keyword(s):  
Time Delay ◽  
Coal Sample ◽  
Physical Property ◽  
Recursive Least Squares ◽  
National Standard ◽  
Temperature Control System ◽  
Sample Heating ◽  
Engineering Requirement ◽  
Key Techniques ◽  
Point Detection

The burning point of coal sample is a crucial physical property of coal, and it is also a key technical parameter for the exploitation, transportation, and application of coal. The national standard for coal sample burning point detection prescribes a strict rising rate of temperature when coal samples being heated. To meet with this engineering requirement, we introduce a scheme of a coal sample burning point detecting instrument, which is based on an AT89C55 MCU. The characteristics, key techniques, and solutions of the temperature control system are introduced with respect to the instrument. We employ a self-tunning Dahlin controller with a Recursive Least Squares with Exponential Forgetting (RLSEF) algorithm to solve the control problems of this time-delay, big inertia, and time-variable plant (coal sample heating furnace). Simulations show that the self-tunning Dahlin controller is able to not only compensate the time-delay and big inertia of the plant and but also adapt to the variations of plant parameters, so that the requirement for the rising rate of temperature can be fulfilled effectively.

Localization of Mobile Robot Based on Least Square Method

2013 ◽  
Vol 347-350 ◽  
pp. 808-811
Author(s):  
Jia Lu Li ◽  
Lin Bing Long ◽  
Bao Feng Zhang
Keyword(s):  
Motion Estimation ◽  
Mobile Robot ◽  
Mobile Robots ◽  
Least Squares ◽  
Least Square Method ◽  
Least Square ◽  
Experimental Results ◽  
Sift Algorithm ◽  
Key Techniques ◽  
Point Detection

Localization is the basis for navigation of mobile robots. This paper focuses on key techniques of localization for mobile robots based on vision. Firstly, the specific measures and steps of the algorithm are analyzed and researched in depth. In the study, SIFT algorithm combined with epipolar geometry constraint is used on the environment feature point detection, matching and tracking. And the method of RANSAC combined with the least squares is used to obtain accurate results of the motion estimation. Then the necessary experiments are carried out to verify the correctness and effectiveness of algorithms. The experimental results verified the accuracy of the improved algorithm.

The Application of Cascade Control Based on DMC in Stripping Section Temperature Control System

2014 ◽  
Vol 651-653 ◽  
pp. 891-894
Author(s):  
Jian Ping Xiao ◽  
Tong Song
Keyword(s):  
Time Delay ◽  
Predictive Control ◽  
Distillation Column ◽  
External Disturbance ◽  
Static Characteristic ◽  
Cascade Control ◽  
Temperature Control System ◽  
Lower Accuracy ◽  
Internal Mechanism ◽  
Better Than

Predictive control is one of the robust control algorithms that suitable for computerized implementation, and requests lower accuracy of the model. It has been widely used in process control recently. Considering the features of distillation column stripping section, such as complex internal mechanism, time-varying parameters and large time delay, the DMC-PID cascade control strategy is adopted. The simulation results show that this strategy combined the advantages of predictive control and cascade control, can make distillation column stripping section have good dynamic and static characteristic in the presence of external disturbance and time delay. The performances are better than DMC and conventional PID control.

scholarly journals Study and Analysis of Human Survival Parameters in Mine Refuge Station

2015 ◽  
Vol 9 (1) ◽  
pp. 650-656 ◽  
Author(s):  
Yang Zhe ◽  
Jin Longzhe ◽  
Wang Shu
Keyword(s):  
Life Support ◽  
Living Environment ◽  
National Standard ◽  
Human Survival ◽  
Emergency Rescue ◽  
Respiration Quotient ◽  
Air Supply ◽  
Time Quantum ◽  
Key Techniques ◽  
Clinical Emergency

In order to study life support key techniques in mine refuge station, test the clinical emergency response of participants and human survival parameters in rescue state. A manned test with 50 miners for 48h in a real underground refuge station was conducted in Guilaizhuang gold mine. The experiment simulated rescue living environment of human and consisted of three stages (the passive stage, the compressed air supplying stage, and the compressed O supplying stage). By monitoring environmental concentrations of O2, CO2, temperature, relative humidity, and human activity states during the test, the O2 consumption, CO2 production and respiration quotient was obtained and analysed in different activities, time quantum and O2 concentration. On the basis, the minimum air supply volumes for the survival of test personnel were determined. That is 0.067m/min per person and is far lower than the national standard 0.3m/min per person. During the test, no people experienced discomfort by health check and questionnaire. It is expected that the conclusions provide an important reference for the design of underground refuge stations and mine emergency rescue.

Research on Networked Control Systems Based on Adaptive Predictive Control

2013 ◽  
Vol 441 ◽  
pp. 833-836
Author(s):  
Zai Ping Chen ◽  
Xue Wang
Keyword(s):  
Time Delay ◽  
Control Systems ◽  
Predictive Control ◽  
Control Strategy ◽  
Networked Control Systems ◽  
Networked Control ◽  
Random Time ◽  
Recursive Least Squares ◽  
Model Parameters ◽  
Adaptive Predictive Control

According to the random time-delay exist in sensor-controller channel and controller-actuator channel in networked control systems, an adaptive predictive control strategy was proposed. In this control strategy, an improved generalized predictive control algorithm is adopted to compensate the networked random time-delay. In addition, using the recursive least squares with a variable forgetting factor algorithm to indentify the model parameters of controlled object on-line, through the way, it could adjust the systems with unknown parameters adaptively. Simulation results show that the adaptive predictive control proposed could solve random time-delay of networked control systems effectively.

Study on Utilization of Biomass in Light-Weight Aggregate Production

2013 ◽  
Vol 743-744 ◽  
pp. 245-251
Author(s):  
Run Zhu Tian ◽  
Zheng Wu Jiang ◽  
Qing Yun Huang ◽  
Zheng Hong Yang
Keyword(s):  
Rice Husk ◽  
Alternative Fuel ◽  
Test Method ◽  
Biomass Fuel ◽  
National Standard ◽  
Light Weight ◽  
Aggregate Production ◽  
Key Techniques ◽  
And Control ◽  
Light Weight Aggregate

In this paper, the property of common biomass-rice husk was compared with that of coal. The combustion characteristics of rice husk were investigated by Thermogravimetry (TG) method, and the barriers for biomass fuels utilization as an alternative fuel to manufacture artificial aggregates were also analyzed. The key techniques of using biomass as an alternative fuel in light-weight aggregate production, such as preprocessing of the biomass feedstock, proper design of combustion system for biomass fuel and control of sintering process were proposed. Properties of artificial aggregates sintered by biomass fuel were also studied according to GB/T 17421.2-2010 test method, and the test results showed that all the properties meet the requirement of national standard.

Multi-dimensional Taylor network adaptive predictive control for single-input single-output nonlinear systems with input time-delay

2021 ◽  
pp. 014233122110402
Author(s):  
Chen-Long Li ◽  
Hong-Sen Yan ◽  
Jiao-Jun Zhang
Keyword(s):  
Time Delay ◽  
Nonlinear Systems ◽  
Predictive Control ◽  
Tracking Control ◽  
Recursive Least Squares ◽  
Single Input Single Output ◽  
Single Output ◽  
Single Input ◽  
Input Time ◽  
Adaptive Predictive Control

In this study, an adaptive predictive control approach based on the multi-dimensional Taylor network (MTN) is proposed for the real-time tracking control of single-input single-output nonlinear systems with input time-delay. Two MTNs are used to implement the accurate tracking control. First, to compensate for the influence of time-delay, MTN is taken as a predictor and the damped recursive least squares algorithm is used as its online learning algorithm. Second, a feed-forward MTN controller is developed on the basis of the proportional–integral–derivative controller, and the closed-loop errors between the reference input and the system output are directly chosen to be the MTN controller’s inputs. The back propagation algorithm is introduced for its learning which can update its weights online at stable learning rate by the errors caused by the system’s uncertain factors. Convergence and stability analysis are given to guarantee the performance of our proposed approach. Finally, two examples are given to verify the effectiveness of the proposed approach.

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