Study of Optical Polishing Machine Based on Intelligent Control Technology

2014 ◽  
Vol 539 ◽  
pp. 615-619
Author(s):  
Xing Ju Wang ◽  
Xiao Zhi Wang
Keyword(s):  
Intelligent Control ◽  
High Reliability ◽  
Control Unit ◽  
Good Control ◽  
Control Technique ◽  
Control Performance ◽  
Single Chip ◽  
Speed Regulation ◽  
Polishing Machine ◽  
Optical Polishing

In order to improve control performance of polishing machine, a closed-loop Variable Frequency Speed Regulation (VFSR) System based on fuzzy control technique is designed and single-chip processor NLX230 is adopted as the control unit. Experiment result indicates that this system has the good control performance, high reliability, and producing efficiency is improved, and the product quality is also guaranteed.

Application of PID in Controllable Pitch Propeller of a Multipurpose Ocean Tug

2013 ◽  
Vol 464 ◽  
pp. 253-257
Author(s):  
Hui Fang Chen
Keyword(s):  
Control System ◽  
Automatic Control ◽  
Automatic Control System ◽  
High Reliability ◽  
Control Process ◽  
Good Control ◽  
Control Performance ◽  
Hardware Configuration ◽  
Design Idea ◽  
And Control

This paper takes the automatic control system of controllable pitch propeller in a multipurpose ocean tug as an example to describe the application of the S7-200 series PLC in the control system of 4500 horse power controllable pitch propeller in detail. The principle of control system is addressed, as well as the hardware configuration, the design idea of the main software and control process. The system shows high reliability, accuracy and good control performance in practical in practical running.

scholarly journals Investigating On-Road Lane Maintenance and Speed Regulation in Post-Stroke Driving: A Pilot Case–Control Study

Geriatrics ◽  
2021 ◽  
Vol 6 (1) ◽  
pp. 16
Author(s):  
Heng Zhou ◽  
Qian (Chayn) Sun ◽  
Alison Blane ◽  
Brett Hughes ◽  
Torbjörn Falkmer ◽  
...  
Keyword(s):  
Cognitive Abilities ◽  
Speed Control ◽  
Executive Dysfunction ◽  
Case Control ◽  
Older Drivers ◽  
Control Performance ◽  
Post Stroke ◽  
Speed Regulation ◽  
Stroke Population ◽  
Lane Keeping

Stroke can adversely affect the coordination and judgement of drivers due to executive dysfunction, which is relatively common in the post-stroke population but often undetected. Quantitatively examining vehicle control performance in post-stroke driving becomes essential to inspect whether and where post-stroke older drivers are risky. To date, it is unclear as to which indicators, such as lane keeping or speed control, can differentiate the driving performance of post-stroke older drivers from that of normal (neurotypical) older drivers. By employing a case–control design using advanced vehicle movement tracking and analysis technology, this pilot study aimed to compare the variations in driving trajectory, lane keeping and speed control between the two groups of older drivers using spatial and statistical techniques. The results showed that the mean standard deviation of lane deviation (SDLD) in post-stroke participants was higher than that of normal participants in complex driving tasks (U-turn and left turn) but almost the same in simple driving tasks (straight line sections). No statistically significant differences were found in the speed control performance. The findings indicate that, although older drivers can still drive as they need to after a stroke, the decline in cognitive abilities still imposes a higher cognitive workload and more effort for post-stroke older drivers. Future studies can investigate post-stroke adults’ driving behaviour at more challenging driving scenarios or design driving intervention programs to improve their executive function in driving.

scholarly journals Fuzzy Logic for Intelligent Control System Using Soft Computing Applications

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2617
Author(s):  
Catalin Dumitrescu ◽  
Petrica Ciotirnae ◽  
Constantin Vizitiu
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Soft Computing ◽  
Intelligent Control ◽  
Fuzzy Controller ◽  
Control Technique ◽  
Distributed Intelligence ◽  
High Level ◽  
The Impact ◽  
Fuzzy Subsets

When considering the concept of distributed intelligent control, three types of components can be defined: (i) fuzzy sensors which provide a representation of measurements as fuzzy subsets, (ii) fuzzy actuators which can operate in the real world based on the fuzzy subsets they receive, and, (iii) the fuzzy components of the inference. As a result, these elements generate new fuzzy subsets from the fuzzy elements that were previously used. The purpose of this article is to define the elements of an interoperable technology Fuzzy Applied Cell Control-soft computing language for the development of fuzzy components with distributed intelligence implemented on the DSP target. The cells in the network are configured using the operations of symbolic fusion, symbolic inference and fuzzy–real symbolic transformation, which are based on the concepts of fuzzy meaning and fuzzy description. The two applications presented in the article, Agent-based modeling and fuzzy logic for simulating pedestrian crowds in panic decision-making situations and Fuzzy controller for mobile robot, are both timely. The increasing occurrence of panic moments during mass events prompted the investigation of the impact of panic on crowd dynamics and the simulation of pedestrian flows in panic situations. Based on the research presented in the article, we propose a Fuzzy controller-based system for determining pedestrian flows and calculating the shortest evacuation distance in panic situations. Fuzzy logic, one of the representation techniques in artificial intelligence, is a well-known method in soft computing that allows the treatment of strong constraints caused by the inaccuracy of the data obtained from the robot’s sensors. Based on this motivation, the second application proposed in the article creates an intelligent control technique based on Fuzzy Logic Control (FLC), a feature of intelligent control systems that can be used as an alternative to traditional control techniques for mobile robots. This method allows you to simulate the experience of a human expert. The benefits of using a network of fuzzy components are not limited to those provided distributed systems. Fuzzy cells are simple to configure while also providing high-level functions such as mergers and decision-making processes.

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.

Robust Control Method Based on Machine Learning for Boiler Combustion System

2014 ◽  
Vol 685 ◽  
pp. 368-372 ◽  
Author(s):  
Hao Zhang ◽  
Ya Jie Zhang ◽  
Yan Gu Zhang
Keyword(s):  
Robust Control ◽  
Intelligent Control ◽  
Pid Control ◽  
Control Algorithm ◽  
Control Method ◽  
Support Vector ◽  
Control Performance ◽  
Fuzzy Pid Control ◽  
On Line ◽  
Control Output

In this study, we presented a boiler combustion robust control method under load changes based on the least squares support vector machine, PID parameters are on-line adjusted and identified by LSSVM, optimum control output is obtained. The simulation result shows control performance of the intelligent control algorithm is superior to traditional control algorithm and fuzzy PID control algorithm, the study provides a new control method for strong non-linear boiler combustion control system.

Development and Realization of Experimental Box Based on P89V51RB2 Single Chip

2013 ◽  
Vol 850-851 ◽  
pp. 471-474
Author(s):  
Ru Nie
Keyword(s):  
Intelligent Control ◽  
Digital Control ◽  
Assembly Language ◽  
Scientific Research ◽  
Single Chip ◽  
Chip Experiment ◽  
Modern Work ◽  
Accurate Reading

Nowadays, we need more convenient facilities to start from the digital microcontroller technology, towards digital control, intelligent control for the modern work, scientific research and life. Compared with the traditional experimental box, P89V51RB2 single chip experiment box is more easy to use, has accurate reading, contain comprehensive and practical experimental circuits. To satisfy the demand of higher school, add other functions such as assembly language based on the existing experimental box.

scholarly journals Model-Based Analysis of Flow Separation Control in a Curved Diffuser by a Vibration Wall

Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1781
Author(s):  
Weiyu Lu ◽  
Xin Fu ◽  
Jinchun Wang ◽  
Yuanchi Zou
Keyword(s):  
Flow Field ◽  
Flow Control ◽  
Flow Separation ◽  
Vibration Frequency ◽  
Flow Instability ◽  
Control Technique ◽  
Simplified Model ◽  
Main Stream ◽  
Control Performance ◽  
Flow Separation Control

Vibration wall control is an important active flow control technique studied by many researchers. Although current researches have shown that the control performance is greatly affected by the frequency and amplitude of the vibration wall, the mechanism hiding behind the phenomena is still not clear, due to the complex interaction between the vibration wall and flow separation. To reveal the control mechanism of vibration walls, we propose a simplified model to help us understand the interaction between the forced excitation (from the vibration wall) and self-excitation (from flow instability). The simplified model can explain vibration wall flow control behaviors obtained by numerical simulation, which show that the control performance will be optimized at a certain reduced vibration frequency or amplitude. Also, it is shown by the analysis of maximal Lyapunov exponents that the vibration wall is able to change the flow field from a disordered one into an ordered one. Consistent with these phenomena and bringing more physical insight, the simplified model implies that the tuned vibration frequency and amplitude will lock in the unsteady flow separation, promote momentum transfer from the main stream to the separation zone, and make the flow field more orderly and less chaotic, resulting in a reduction of flow loss.

Development of Intelligent Controlled System for Object Special-Shaped Stone

2012 ◽  
Vol 241-244 ◽  
pp. 1139-1142
Author(s):  
Ming Ming Xiao
Keyword(s):  
Intelligent Control ◽  
Single Chip ◽  
Hardware Platform ◽  
Controlled System ◽  
Intelligent Control System ◽  
Graphic Information ◽  
Cad Cam ◽  
Processing Module ◽  
New Type

A new intelligent control system for a new type equipment of special-shaped stone machining is presented, it can reach high quality of intelligent machining for the special-shaped stone production. The hardware platform use universal IPC as kernel, which consists of IPC, embedded micro-computer system, SCM(Single Chip Micyoco). The CAD/CAM system consists of 3 sub-modules: graphic information processing module, 3-dimention dynamic modeling and simulating module and machining implementing module.

scholarly journals Potential Assessment of Modelling Performance of a Central Tower Receiver Power Plant Using Intelligent Control Technique

2018 ◽  
Vol 11 (6) ◽  
pp. 94-106
Author(s):  
Ibrahim Moukhtar ◽  
◽  
Adel A. Elbaset ◽  
Adel Z. Dein ◽  
Yasunori Mitani ◽  
...  
Keyword(s):  
Power Plant ◽  
Intelligent Control ◽  
Control Technique

Multi-Agent Based Active Noise Intelligent Control

2014 ◽  
Vol 496-500 ◽  
pp. 1685-1689
Author(s):  
Huai Feng Cui ◽  
Nan Chen
Keyword(s):  
Control Problem ◽  
Local Control ◽  
Noise Control ◽  
Active Noise Control ◽  
Control Unit ◽  
Good Control ◽  
Agent Based ◽  
Active Noise ◽  
Flexible Plates ◽  
Multi Agent

Multi-agent based active noise control (ANC) is investigated in this paper. An enclosure consisting of two flexible plates is discussed. The noise control problem is decomposed into several local control problems on the basis of the dominant structural modal. Each local control problem is solved by an intelligent structure, i.e. agent control unit (ACU). The ACU includes sensor, actuator and controller. The relationship among the ACUs is negotiated by a coordination object. The architecture of multi-agent based active control is established using the coordination object. The control system can work smoothly in dynamic environments. It has the flexibility and robustness. The simulation results indicate that the good control performances are attained.

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