Application Of Adaptive Control System Research Articles

Implementation of Low-Sensitivity Adaptive Control Systems in Machining Low-Stiffness Axisymmetric Workpieces

Abstract This work analyses and proposes an application of adaptive control systems exhibiting low-sensitivity to changes in the technological system parameters in machining low-stiffness axisymmetric workpieces. Secondly, the frequency ranges at which the adaptive control system shows high sensitivity to changing machining allowance were determined. Finally, the developed method enables increasing the control accuracy of dynamic system parameters under changing feed rate and adjusting the elastic-strain parameters of the low-stiffness workpiece by means of the introduction of an error correction block in the form of negative feedback relative to the cutting force. The paper presents the method for constructing adaptive control systems that exhibit low sensitivity to modification of turning or grinding parameters.

Adaptive automatic control system with PI-controller frequency tuning

Application of adaptive control systems, based on selftuning controllers with a test periodic signal is considered in the paper. The main purpose of the study is to develop a new adaptive control algorithm since the technological process maintenance quality directly affects the automatic control system profitability. To implement the control algorithm, digital controllers, based on microprocessors, allowing to realize complex mathematical processing of the input data can be used.The methods for implementing the adaptive control systems with harmonic input signal, using the method of frequency-division of control channels and self-tuning are discussed. The method of quick adaptive tuning of one-loop local automatic control systems using test harmonic signal is given in the paper. The considered control object must have self-regulation properties and medium persistence. To identify the control object, modern error estimate prediction method used.The method is based on analyzing the properties of the system output signal and calculating PI-controller settings, guaranteeing aperiodic transient of the set parameters. When optimizing the PI-controller settings, direct quality indicators of transient of closed-loop control system are estimated.The results of developing the adaptive control algorithm can be applied in one-loop control systems with simple local technological objects, and can also serve as a basis for further research of control systems, which use harmonic signals to obtain more information about the control object

Application of Adaptive Control System in High Speed Railway Bridge Construction Control

Bridges monitor and control plays a important part in the bridge construction technology. Besides, It is the key factors of ensuring the bridge construction safety in the construction project and meeting design and construction code requirements. The Article takes a high-speed railway bridge as engineering background, and adaptive control system will be applied to the monitoring measurement. The Main Parameter of construction is proposed, which is based on the sensitivity analysis of design parameter in theory. According to take elastic modulus and volume weight of concrete as the main Parameters, identified and adjusted them by least square method, to forecast errors, analyze and adjust parameters. Using the adaptive control system to collect the data of displacement and stress in bridge construction.Calculate through the Computer simulation model, and obtain initialize height during construction, on this basis, guiding the construction and complete the construction of control successfully.

Self-Tuning Controller for Nonlinear Object

The main subject matter of the paper is the application of adaptive control systems. This type of control is particularly useful for processes and machines with variable parameters. Classic controllers in this case are not satisfactory. Therefore a research work was initiated on advanced algorithms of control. The paper analyzes algorithms based on fuzzy logic. It should be noted that parameters of fuzzy controllers require adjustment to changeable process (machine) parameters for which an adaptive mechanism is required. The proposed algorithm has been tested on a laboratory stand with a hydrostatic transmission, which is a non-linear and a non-stationary object.

Adaptive Active Noise and Vibration Control Systems

A review of research concerned with adaptive noise and vibration control systems and performed under the supervision of Corresponding Member of the Russian Academy of Sciences V.A. Zverev at Nizhni Novgorod State University in the 1980s and 1990s is presented. The history of the subject is briefly outlined, and the theoretical foundations of the design of adaptive active control systems for random wave fields are considered. The main experimental studies performed in this area of research at the Department of Bionics and Statistical Radiophysics of Nizhni Novgorod State University are described. Promising lines of research in this area are indicated, and examples of the practical application of adaptive control systems are given.

A novel adaptive control system for a custom-built tension-torsion machine

Mathematical theories of elasticity–plasticity have received considerable development in recent years. However, the quantity of accurate experimental work, carried out to examine the validity of these theories appears to be limited. As the theories have increased in sophistication, the accuracy to which the experiments must be performed has also increased. In this paper the development and application of a novel adaptive control system for performing combined tension and torsion experiments on solid and tubular specimens is described. National Instruments LabVIEW (Laboratory Virtual Instrument Engineering Workbench) is used to control the axial and torsional loads on the specimen through data acquisition boards. LabVIEW software in conjunction with data acquisition board, servo-controllers and servomotors form the adaptive control system for the custom-built tension-torsion machine. Accurate control of the axial and torsional loads in the specimen is achieved with the application of the adaptive control system and a sample of the test results are presented in this paper.

Optimization and Application of Adaptive Control Systems with Active Identification

The paper develops an optimization approach to the design of adaptive control algorithms with active identification. The approach is based on the joint use of methods of dynamic programming, information variables and sensitivity theory to form Bellman equation and to find its approximate solution. An actively adaptive control algorithm is designed and then it is presented in close analytic form. An application of the suggested approach in the problem of terminal control of a vehicle is considered as the example.