A Remote Intelligent Control Method Based on the Thermal Comfort Model

2012 ◽  
Vol 235 ◽  
pp. 216-220
Author(s):  
Jie Min Ding ◽  
Zhen Zhong Li ◽  
Wei Bo Li ◽  
Pin He
Keyword(s):  
Control System ◽  
Thermal Comfort ◽  
Intelligent Control ◽  
Control Method ◽  
Control Device ◽  
Airflow Rate ◽  
Air Conditioner ◽  
Test Results ◽  
Artificial Immune ◽  
Thermal Comfort Model

In order to improve thermal comfort and avoid manually controlled split air conditioner, this paper proposes a remote intelligent control method based on the thermal comfort model. It first carries out an analysis of the thermal comfort model and simplifies objective function of the thermal comfort model, which contains only the temperature, humidity and the airflow rate of 3 parameters. In order to get the data of the three parameters of the environment the paper designs an intelligent control device with sensors and also provides the artificial immune method to optimize these three parameters. The test results show that the three parameters obtained in this paper are feasible and effective for the split air conditioner intelligent control. And this method can also be used for other similar equipment control system.

scholarly journals Intelligent Control Wheelchair Using a New Visual Joystick

2018 ◽  
Vol 2018 ◽  
pp. 1-20 ◽  
Author(s):  
Yassine Rabhi ◽  
Makrem Mrabet ◽  
Farhat Fnaiech
Keyword(s):  
Control System ◽  
Intelligent Control ◽  
Visual Recognition ◽  
Low Cost ◽  
Control Device ◽  
Control Technique ◽  
Hand Gesture ◽  
Functional Rehabilitation ◽  
Number Of Patients ◽  
Real Patients

A new control system of a hand gesture-controlled wheelchair (EWC) is proposed. This smart control device is suitable for a large number of patients who cannot manipulate a standard joystick wheelchair. The movement control system uses a camera fixed on the wheelchair. The patient’s hand movements are recognized using a visual recognition algorithm and artificial intelligence software; the derived corresponding signals are thus used to control the EWC in real time. One of the main features of this control technique is that it allows the patient to drive the wheelchair with a variable speed similar to that of a standard joystick. The designed device “hand gesture-controlled wheelchair” is performed at low cost and has been tested on real patients and exhibits good results. Before testing the proposed control device, we have created a three-dimensional environment simulator to test its performances with extreme security. These tests were performed on real patients with diverse hand pathologies in Mohamed Kassab National Institute of Orthopedics, Physical and Functional Rehabilitation Hospital of Tunis, and the validity of this intelligent control system had been proved.

Intelligent Operation Control for the Fused Magnesia Production

2011 ◽  
Vol 391-392 ◽  
pp. 1450-1454
Author(s):  
Yong Jian Wu ◽  
Ping Zhou ◽  
Pin Shang ◽  
Tian You Chai
Keyword(s):  
Control System ◽  
Intelligent Control ◽  
Control Strategy ◽  
Control Method ◽  
Level Control ◽  
Loop Control ◽  
Intelligent Control System ◽  
Technical Requirements ◽  
Operation Control ◽  
Lower Loop

An electro-fused magnesia furnace (EFMF) is used to produce electro-fused magnesia. Due to the complex dynamic characteristics of the EFMF production process, it is difficult to achieve the satisfactory control performances only by the independent conventional control method. As a result, the lower loop control with manual operations is still widely used in practice. However, the manual operation cannot ensure that the actual production qualities and the energy consumption of unit production meet the technical requirements all the time. In this paper, an intelligent operation control strategy is developed for the EFMF to automatically adjust the setpoints of the lower level control system. Based on the proposed intelligent control strategy, an intelligent control system for the EFMF is built and implemented on site. Industrial application has demonstrated that the intelligent control system can achieve reliable, accurate and timely control performances.

Study on the Driver Control System of the Full AC Electric Stacking Forklift

2012 ◽  
Vol 271-272 ◽  
pp. 1658-1663
Author(s):  
Guo Jin Chen ◽  
Ting Ting Liu ◽  
Jing Ni ◽  
Ming Xu ◽  
Huo Qing Feng
Keyword(s):  
Control System ◽  
Intelligent Control ◽  
Control Method ◽  
Development Trend ◽  
Variable Frequency ◽  
Speed Sensorless ◽  
Logistics Industry ◽  
Fuzzy Neural ◽  
Composite Models ◽  
Frequency Module

Logistics Machinery is the important equipment for carrying material. The all-electric logistics machinery is a development trend in the international logistics industry today. This paper studies the intelligent control model and algorithm for the driver control system of the full AC electric stacking forklift, proposes the composite models of the fuzzy neural network’s identification NNM and the Self-tuning PID NNC, and designs the variable frequency module of the speed sensorless vector control. Through the organic integration of the variable frequency module, the speed reducer and the AC motor, we develop the integrated machine used for the driver control system of the full AC electric stacking forklift. The paper put forward the intelligent control method of the variable frequency which combines the load’s characteristic recognition with the control to achieve the best matching, the highest efficacy and the lowest energy consumption of the entire transmission system.

Implementation of Intelligent Control System for Autonomous Underwater Vehicle

2014 ◽  
Vol 701-702 ◽  
pp. 704-710 ◽  
Author(s):  
Viacheslav Pshikhopov ◽  
Yuriy Chernukhin ◽  
Viktor Guzik ◽  
Mikhail Medvedev ◽  
Boris Gurenko ◽  
...  
Keyword(s):  
Control System ◽  
Motion Control ◽  
Intelligent Control ◽  
Autonomous Underwater Vehicle ◽  
Control Method ◽  
Underwater Vehicle ◽  
Intelligent Control System ◽  
Azov Sea ◽  
Complex Simulation ◽  
Point To Point

This paper introduces the implementation of intelligent motion control and planning for autonomous underwater vehicle (AUV). Previously developed control system features intelligent motion control and planning subsystem, based on artificial neural networks. It allows detecting and avoiding moving obstacles in front of the AUV. The motion control subsystem uses position-trajectory control method to position AUV, move from point to point and along given path with given speed. Control system was tested in the multi-module simulation complex. Simulation showed good results – AUV successfully achieved given goals avoiding collisions not only with static obstacles, but also with mobile ones. That allows using the proposed control system for the groups of vehicles. Besides simulation, control system was implemented in hardware. AUV prototype passed tests in Azov Sea and proved its efficiency.

Control Algorithm Study on Cantilever Machine Teaching-Playback

2014 ◽  
Vol 635-637 ◽  
pp. 1212-1215
Author(s):  
Ruo Han Liu ◽  
Chun Hua Li
Keyword(s):  
Control System ◽  
Intelligent Control ◽  
Control Algorithm ◽  
Control Method ◽  
Tracking Error ◽  
Cutting Parameters ◽  
Configuration Software ◽  
Monitoring Site ◽  
Software Monitoring ◽  
Operation Panel

In order to realize intelligent control, the cutting trajectory of TBM research machine adopts the principle of teaching and reappearing cutting trajectory control method, combining with the control system of teaching and reappearing and SIMATIC C7, operation interface is realized by using configuration software monitoring, monitoring site visually through the operation panel parameters change, timely adjust the cutting parameters. The experimental results show that the tracking error within the scope of the permit. The method to improve the intelligence of machine cutting control provides a reference basis.

scholarly journals Analysis of Determining Target Accuracy of Rocket Launchers on Xbee-Pro based Wheeled Robots to Realize the Development of Technology on the Military Field

2020 ◽  
Vol 2 (3) ◽  
pp. 114-118
Author(s):  
Anggara Trisna Nugraha ◽  
Dadang Priyambodo
Keyword(s):  
Control System ◽  
Success Rate ◽  
Control Device ◽  
Test Results ◽  
Servo Motor ◽  
Wheeled Robots ◽  
The Military

At this time the rocket launcher is still controlled by humans who utilize technology using a PC and a servo motor as a control device to determine the accuracy at the shooting angle, in designing this robot complete components are needed so that the robot can work automatically according to the input given, the rocket launcher robot controlled automatically by communication from the PC after which the command is forwarded to the microcontroller using a USB TTL cable and sent to the Xbee-pro sender circuit then transmitted and received by the Xbee-pro receiver then transmitted to the microcontroller and processed to the control system on the launcher a rocket in the form of a servo motor and a relay as a component in the firing of the rocket launcher. Based on the test results, the robot has been able to direct the rocket launcher at a predetermined angle and has been able to carry out firing actions on each rocket starting from manual rockets, double rockets, triple rockets and full rockets with a success rate of up to 80%.

The Research on Intelligent Control Method for EHP System

2012 ◽  
Vol 580 ◽  
pp. 12-15 ◽  
Author(s):  
Yi Wan ◽  
Qi Bo Cai ◽  
Huan Wang
Keyword(s):  
Control System ◽  
Predictive Control ◽  
Intelligent Control ◽  
Internal Model ◽  
High Speed ◽  
Control Method ◽  
Internal Model Control ◽  
Support Vector ◽  
Proportional Control ◽  
Self Adaptive

Optimized machine learning algorithm is applied to control modeling of high-speed electric-hydraulic proportional system of high nonlinear in this paper, a identification model of high-speed electric-hydraulic proportional system is built based on support vector machines, fusion intelligent method of dynamic self-adaptive internal model control and predictive control is realized for high-speed electric-hydraulic proportional control system. Internal model and inverse controller model are online adjusted together. Simulation shows the satisfactory tracking effect by intelligent technology of dynamic self-adaptive internal control and predictive control based on the support vector machine, the dynamic characteristic is greatly improved by the intelligent control strategy for high-speed electric-hydraulic proportional control system, good tracking and control effect is reached in condition of high frequency response. It provides a new intelligent control method for high-speed electric-hydraulic proportional system.

Optimization to Human Thermal Comfort in Transitional Spaces by Artificial Immune Algorithm

2013 ◽  
Vol 321-324 ◽  
pp. 1925-1929
Author(s):  
Xian Feng Huang ◽  
Yi Min Lu
Keyword(s):  
Thermal Comfort ◽  
Environmental Parameters ◽  
Immune Algorithm ◽  
Air Conditioner ◽  
Transitional Space ◽  
Artificial Immune ◽  
Artificial Immune Algorithm ◽  
Exterior Space ◽  
Human Thermal Comfort ◽  
Transitional Spaces

The HVAC (Heating, Ventilation and Air-conditioner) technology is an efficient approach to achieve dynamic thermal comfort in the transitional spaces where connect the interior and exterior space. The paper describes an optimized method to thermal environmental parameters in the hot summer and warm winter zone is benefit to human comfort, health and energy saving. Based on the dynamic comfort equations and the advantage of artificial immune algorithm in tackling combinatorial optimization to engineering problems, the artificial immune algorithm has been applied to the optimization of thermal parameters for the HVAC design within a transitional space. Therefore, it is shown that the proposed algorithm here might be adopted in the control of the HVAC system.

scholarly journals An Intelligent Control System of Remanufacturing Assembly for Improving Quality and Production Efficiency

2021 ◽  
Author(s):  
Conghu Liu ◽  
Wei Cai ◽  
Guang Zhu ◽  
Mengdi Gao
Keyword(s):  
Control System ◽  
Real Time ◽  
Intelligent Control ◽  
Production Efficiency ◽  
Control Method ◽  
Coupling Mechanism ◽  
Real Time Monitoring ◽  
Dynamic Compensation ◽  
Positive Role ◽  
Intelligent Control System

Abstract Remanufacturing has been considered to be one of the most effective ways to deal with sustainable manufacturing. The integration of intelligent technology and remanufacturing assembly system is a necessary way for the development of remanufacturing industry. This paper proposes an intelligent control system for improving the quality and production efficiency of the remanufacturing assembly (reassembly) systems. First, the state space model of reassembly is constructed and deduced to reveal the quality transfer and coupling mechanism of reassembly process. An optimization model of the reassembly scheme is established for minimizing the comprehensive cost. Then, an intelligent control system for reassembly process is proposed, which is a real-time monitoring and dynamic compensation response to address abnormal quality and to achieve intelligent control of reassembly process. The data model, information perception and fusion technology, real-time monitoring and dynamic compensation of reassembly quality are studied and implemented. Finally, the prototype intelligent control system of reassembly is developed, which illustrates its practicability offering a technical support for sustainability of remanufacturing. It can monitor the abnormal quality in real time and make dynamic compensation response, and realize the intelligent control of reassembly process. It plays a positive role in improving quality, reducing cost and enhancing customer satisfaction. This intelligent control method is more suitable for the reassembly system of complex machinery, especially under uncertain operating environment.

scholarly journals Indoor Environment Intelligent Control System of Green Building Based on PMV Index

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Tiandong Shao
Keyword(s):  
Control System ◽  
Energy Consumption ◽  
Wind Speed ◽  
Thermal Comfort ◽  
Intelligent Control ◽  
Human Body ◽  
Air Conditioning ◽  
Indoor Environment ◽  
Green Building ◽  
Intelligent Control System

With the development and progress of society, people have higher and higher requirements for indoor high temperature and humidity environment. The traditional air conditioning system uses temperature and humidity as control parameters, which has a single control goal, low comfort, and high energy consumption. The purpose of this study is to use predicted mean vote (PMV) thermal comfort index and green building to analyze the intelligent control system of indoor environment. Our intelligent research platform is a set of “intelligent” experimental platforms. The sample data were divided into human metabolic rate, human external work, and heat resistance of clothes, temperature, and air. According to the PMV value, velocity, relative humidity, and average radiation temperature are divided into three categories, which are composed of seven parameters. According to the survey results, PMV at 24°C fluctuates around 0.5, which is an important value for human thermal comfort, and people will feel more comfortable. When the temperature reaches 26°C, the PMV index will reach 0.6 or even more than 0.6, and the human body will be in an unpleasant state due to overheating. In addition, the higher the wind speed is, the smaller the PMV value is and the stronger the cooling effect is. The higher the temperature is, the smaller the influence of wind speed on PMV value is. In other words, the sensitivity of the human body to wind speed will be reduced. In this study, the PMV index intelligent control system can adjust the indoor environment properly, and the conclusion is that the energy consumption and use effect are superior to air conditioning equipment. This research has contributed to the development of intelligent buildings.

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