Application Of Intelligent Control Research Articles

Application of Intelligent Controller in SRM Drive

The following article has been retracted by the Editorial Board and the Publisher of Journal of Networks: “Application of Intelligent Controller in SRM Drive” by Zhang Baojian, Zhu Yanli, Xie Jianping, Wang Jianping Journal of Computers Volume 7, Number 9, September 2012, Pages: 2200-2207 doi:10.4304/jcp.7.9.2200-2207 The retraction is based on the determination that, this paper contains significant portions of original text from a couple of publications. The original text was copied without attribution (including appropriate references to the original authors and/or paper title) and without permission:

Application of Intelligent Control in the Servo System

The pneumatic valves are widely used in the actual industrial production, and their practical performances are very important to the control system. Traditionally, the common PID controller is widely used in the control of the pneumatic valves. Due to the strong nonlinearity of the pneumatic valve, the control effect of the PID method for the pneumatic valve is below what is desired. In order to address this problem, a fuzzy PID control scheme is presented to be used in the pneumatic system in this paper. Simulation results and the practical control effect show that this kind of compound control structure has better performance than the classical PID control method and satisfactory effects have been obtained.

Application of Intelligent Controller in a Ball and Beam Control System

Abstract Ball and beam system is one of a nonlinear and unstable control system, thus providing a challenge to the control engineers and researchers. There are a number of controllers which have been studied for years that can be used to stabilize the ball and beam system. This paper investigates the performance of few different control approaches that consist of conventional controller, modern controller and intelligent controller for a ball and beam system. It will involve the derivation of the mathematical modeling that includes the linearization of the model in order to be used with the linear controllers. The works followed with designing those controllers and simulating it in MATLAB. Each controller performance will be analyzed and compared which is based on common criteria’s of the step response. An appropriate graphic user interface (GUI) has been developed to view the animation of the ball and beam system.

Laser interventions in otorhinolaryngology – Current techniques and future developments

Abstract Following the rapid pace at which laser applications and interventions evolved during the 1980s and 1990s, laser systems are now being used extensively in all fields of otorhinolaryngology. Surgical techniques have been refined and adapted to standards of minimally invasive operations. As long-term results are now widely available, especially in endolaryngeal and endopharyngeal laser surgery for malignant lesions, the indications for laser interventions versus conventional surgery are more clearly defined and have become less controversial. The original diversity of laser systems has now been concentrated into fewer systems for which the clinical experience is equally widespread. Current developments are focused on the application of laser energy and intelligent laser power control. This allows surgeons to concentrate on the actual resection task at hand. Future developments include precise non-thermal ablation techniques with femtosecond and picosecond lasers but also feedback-controlled systems which rely on diagnostic parameters that are evaluated automatically during the resection process. Another field of application is the non-destructive stimulation of inner ear hair cells or auditory neurons which has opened up new perspectives for the development of hearing aids or cochlear implants.

Energy efficient fuzzy based combined variable refrigerant volume and variable air volume air conditioning system for buildings

Energy conservative building design has triggered greater interests in developing flexible and sophisticated air conditioning systems capable of achieving enhanced energy-savings potential without sacrificing the desired thermal comfort and indoor air quality (IAQ). This research work greatly aimed at achieving enhanced energy conservation, good thermal comfort and better IAQ for space conditioning with the application of combined variable refrigerant volume (VRV) and variable air volume (VAV) air conditioning (A/C) systems. Experimental investigation on the proposed combined air conditioning system with the application of intelligent fuzzy logic controller was performed for summer and winter climatic conditions to substantiate the energy-savings capability. The proposed system experimentally analyzed under fixed ventilation, demand controlled ventilation (DCV) and combined DCV and economizer cycle (EC) ventilation techniques effectively conserved 44% and 63% of per day average energy-savings in summer and winter design conditions respectively, while compared to the conventional constant air volume (CAV) A/C system. The results of the present investigation have proved that the proposed combined air conditioning system operated under the different ventilation strategies and controlled by the intelligent fuzzy logic controller (FLC) can be considered as an efficient technology to achieve good thermal comfort, IAQ and energy conservation in the modern heating, ventilation and air conditioning (HVAC) applications.

Adaptive and intelligent control applications to power system stabiliser

Adaptive control can be described as the changing of controller parameters online based on the changes in system operating conditions. Adaptive controllers based on analytical techniques can provide excellent performance and improve the dynamic performance of the plant by allowing the parameters of the controller to adjust as the operating conditions change. Proper care needs to be taken to make them robust, especially under large disturbances. Controller robustness can be improved by employing artificial intelligence (AI) techniques. It is possible to implement either the entire algorithm using AI techniques or by integrating analytical and AI techniques such that some functions are performed using analytical approach and the rest using AI techniques. Successful implementation of purely analytical, purely AI and integrated approaches is illustrated by application to a power system stabiliser to improve damping and stability of an electric generating unit.

Experimental analysis of fuzzy controlled energy efficient demand controlled ventilation economizer cycle variable air volume air conditioning system

In the quest for energy conservative building design, there is now a great opportunity for a flexible and sophisticated air conditioning system capable of addressing better thermal comfort, indoor air quality, and energy efficiency, that are strongly desired. The variable refrigerant volume air conditioning system provides considerable energy savings, cost effectiveness and reduced space requirements. Applications of intelligent control like fuzzy logic controller, especially adapted to variable air volume air conditioning systems, have drawn more interest in recent years than classical control systems. An experimental analysis was performed to investigate the inherent operational characteristics of the combined variable refrigerant volume and variable air volume air conditioning systems under fixed ventilation, demand controlled ventilation, and combined demand controlled ventilation and economizer cycle techniques for two seasonal conditions. The test results of the variable refrigerant volume and variable air volume air conditioning system for each techniques are presented. The test results infer that the system controlled by fuzzy logic methodology and operated under the CO2 based mechanical ventilation scheme, effectively yields 37% and 56% per day of average energy-saving in summer and winter conditions, respectively. Based on the experimental results, the fuzzy based combined system can be considered to be an alternative energy efficient air conditioning scheme, having significant energy-saving potential compared to the conventional constant air volume air conditioning system.

A modified coupled map car-following model based on application of intelligent transportation system and control of traffic congestion

A modified coupled map car-following model is proposed for a one-way with the application of intelligent transportation system to describe the dynamic characteristics of one-way traffic flow and the control of traffic congestion. Based on the present model and the theory of feedback control，the stability criteria are given for the change of speed of the lead vehicle. The theoretical analysis shows that the information on more leading vehicles of each vehicle could lead to a stabilization effect for the traffic flow，that is，the stability conditions could be considerably weakened. The corresponding numerical simulations confirm the correctness of the theoretical analysis. Through comparing the present results with those in previous works，it is concluded that the proposed control strategy is more effective in suppressing the formation of traffic congestion by applying and controlling the induction information provided by the intelligent transportation system.

INTELLIGENT MODELING AND CONTROL OF WASHING MACHINE USING LOCALLY LINEAR NEURO‐FUZZY (LLNF) MODELING AND MODIFIED BRAIN EMOTIONAL LEARNING BASED INTELLIGENT CONTROLLER (BELBIC)

ABSTRACTIntelligent control of home appliances has, in recent years, attracted much theoretical attention, as well as becoming a major factor for industrial and economic success and rapid market penetration. Washing Machines represent an important market. Intelligent control techniques are capable of providing useful means for both easier use and energy and water conservation. In this paper, the authors use two techniques that have successfully been used in other intelligent modeling and control applications. Firstly, the authors use a neuro‐fuzzy locally linear model tree system for data driven modeling of the machine. Secondly, the authors use a neural computing technique, based on a mathematical model of amygdala and the limbic system, for emotional control of the washing machine. The obtained results indicate the applicability of the proposed techniques in this important business sector.

A P2P technology middleware architecture enabling user-centric services deployment on low-cost embedded networked devices

This paper presents a middleware architecture based on peer-to-peer (P2P) technology components, allowing seamless integration of service functions over wireless interfaces and terminals, with a view to enable realisation of intelligent control applications for the home. Up-to-date this applications area is characterised by limited growth, as most of research effort is put on the development of user-to-user communication services, where the market potential is more evident. However, elaboration of mobile services, emerging obvious usability even by inexperienced users in the daily life, could offer the “killer application” potential for the data path of the mobile communications technology. In the sequel, the advantages of this architecture, summarised in optimised performance and thin structure suitable to be hosted on reduced functionality, low-cost embedded systems, are illustrated in the deployment of control applications within the home (involving mobile terminals and household appliances), utilising dynamic service discovery mechanisms. The paper concludes by making provisions for the ubiquitous networking of appliances towards realisation of intelligence control applications for the mobile user.

Hierarchical Control of a Space-Based Deployable Manipulator Using Fuzzy Logic

Application of the fuzzy logic intelligent control of space-based systems has received relatively less attention compared to conventional control procedures. Basic concepts involved in development of a hierarchical control system using fuzzy logic are explained. Next, fuzzy logic is applied to control a novel two-link robotic arm, composed of revolute and prismatic joints, supported by a mobile base traversing along an orbiting platform. The control system that is developed has three levels. A conventional controller, consisting of the feedback linearization technique combined with proportional-derivativecontrol is used in the bottom level of the hierarchical system, to control the servomotors of the robot. A second layer consists of a servo-expert that preprocesses the high-resolution information coming from joint encoders and extracts the status of the system. A third, intelligent layer is added at the top of the hierarchy to complete the control structure. The main purpose of the top level is to tune the parameters of the crisp (conventional) controller to improve the response of the system. A decision table is developed of ine, for tuning the parameters of the crisp (nonfuzzy) controller, which considerably reduces the real-time computational effort. Typical pick-and-place results from the robot are presented that show that extra tuning can signiŽ cantly improve the performance of the manipulator.

Some Problems of Intelligent Control of Open CNCs and Manufacturing Cells

Computer integrated manufacturing (CIM) applications are increasingly utilizing artificial intelligent methods. Real-time expert system environments are appropriate tools to develop intelligent controllers. The first part of this paper summarizes some problems of the application of expert systems in the field of CNC and manufacturing cell controllers. Then a new open European CNC architecture (OSACA) is introduced together with knowledge-based, intelligent control application in its environment evaluated by a prototype solution. The next part of the paper deals with simulation based real time control of robotic manufacturing cells to show the way towards holonic manufacturing units.

Application of intelligent control in the design of a test flight maneuver autopilot: An example of cooperation between NASA and a university

This paper describes two research projects conducted by the author under the auspices of NASA/ASEE Summer Faculty Fellowship Program, The challenge in both of the projects was to replace traditional control by elements of intelligent control in systems used by NASA. While the focus of the paper is on the NASA/ASEE Summer Faculty Fellowship Program as a University-Industry Joint Program, the objective of the author is to share the experience with other Engineering Educators. Therefore, the emphasis is mainly on the nature and the scope of the projects and the effectiveness of the program. © 2000 John Wiley & Sons, Inc. Comput Appl Eng Educ 8: 196–200, 2000

Application of intelligent control in the design of a test flight maneuver autopilot: An example of cooperation between NASA and a university

This paper describes two research projects conducted by the author under the auspices of NASA/ASEE Summer Faculty Fellowship Program, The challenge in both of the projects was to replace traditional control by elements of intelligent control in systems used by NASA. While the focus of the paper is on the NASA/ASEE Summer Faculty Fellowship Program as a University-Industry Joint Program, the objective of the author is to share the experience with other Engineering Educators. Therefore, the emphasis is mainly on the nature and the scope of the projects and the effectiveness of the program. © 2000 John Wiley & Sons, Inc. Comput Appl Eng Educ 8: 196–200, 2000

Application of Intelligent Controllers on the Power Plant Boiler Control

most of the medium and small scale power plants in china are operating with the poor economic performance and reliability because of the poor automation system. it is a good method to use the intelligent digital controller to reform the automatic control and instrument system of these power plants. this article summaries the application of a kind of intelligent controller in the control of the steam temperature of a boiler. the controlled process is analysed first and then a control strategy is designed to obtain good control performance, the control program is given also. about one year stable operation of this control system proves that the design of this system is successful.

A control engineer’s use of artificial intelligence

This paper looks at three areas in decision and control where the solution is improved through artificial intelligence. The first area is of historical interest (1975) where pattern recognition tools were used for process prediction and monitoring. The second area is current, and shows how a particular neural network can improve process monitoring and control (with many more-extensive applications). The third area is also current, and lists some intelligent control applications to aerospace fault accommodation and flight control, with the specific example of nonlinear flight control using neural networks.

A Control Engineer's View of Artificial Intelligence

This paper looks at three areas in decision and control where the solution is improved through artificial intelligence. The first area is of historical interest (1975) where pattern recognition tools were used for process prediction and monitoring. The second area is current and shows how a particular neural network can improve process monitoring and control (with many more extensive applications). The third area is also current and lists some intelligent control applications to aerospace fault accommodation and flight control with the specific example of nonlinear flight control using neural networks

A generic intelligent control system for grinding

The achievement of accuracy in precision machining depends on the ability to take account of system deflection. The application of intelligent control to grinding processes is a way to achieve a desired workpiece size and surface integrity. A generic intelligent control system for grinding has been developed based and implemented on a commercially available CNC grinding machine. The implementation has been shown to be successful. The paper describes the object-oriented development of the generic intelligent control system for grinding based on the proposed modular conceptual framework for adaptive grinding control, reviews previous work towards intelligent grinding control, summarises the previously used adaptive strategies and introduces the structure and operation of the generic intelligent control system. Finally, the problems encountered during the system development are discussed.

Developing commercial applications of intelligent control

Intelligent control techniques that emulate characteristics of biological systems offer opportunities for creating control products with new capabilities. In today's competitive economic environment, these control techniques can provide products with the all-important competitive edge that companies seek. However, while numerous applications of intelligent control have been described in literature, few get past the simulation stage to become laboratory prototypes, and only a handful make their way into products. The ability of research work to impact products hinges not so much on finding the best solution to a problem but on finding the problem and then solving it in a marketable way. The author offers some comments on how to find the right problem for intelligent control and what constitutes a marketable solution. Examples from fuzzy logic and neural network based control are used to illustrate the principles.

BASEMENT: A distributed real-time architecture for vehicle applications

This paper presents BASEMENT™, a distributed real-time architecture developed for vehicle internal use in the automotive industry. The Basement concept is holistic, in the sense that it covers application development, as well as the hardware and software that provide execution and communication support. The key constituents of the concept are A real-time kernel has been developed together with two design tools: a system simulator and an off-line scheduler. System development is illustrated by presenting an Intelligent Cruise Control application. BASEMENT is a registered trademark of Mecel AB.