Probing Beam Control And Correction For Laser Measurement Using PSD Fuzzy Controller

To meet the tremendous development in the field of measurement and instrumentation this topic received great attention from scientists and researchers.Therefore,modern systems had to be designed to keep pace with this development and to find new algorithms with a low cost of design using low-cost materials with high optimal response to accommodate different applications and this is an important and hot issue.Accordingly,this thesis focuses on adjusting the course of lasers in general and combustion systems in particular,in such systems we need to adjust the angle of deviation of rays.The techniques in this thesis are based on the design of high-optimal response control models with an acceptable error ratio.We consider that this type of system is non-linear systems so you need a great effort to address the signals issued with the consideration of follow-up and control of the speed of the source signal and also find solutions to these challenges now and in the future.The main work in this thesis includes:First,in this thesis summary and background on photovoltaic systems and laser beams and explain them in detail afterward,in this regard also the motives for the use of this type of measurement systems and the advantages of the use of laser beam including the basic benefits addressed and investigated,besides it highlights measurements that need to be high accuracy and a new type of AI controllers has been used to adjust and correct the course of radiation and combine the latest techniques to develop the optimal response of the system.Secondly,the great challenges in modeling control systems and how to adjust time response specification specific rise time,peak time,maximum overshoot with taking non-linear system response while minimizing error.Based on the motor mechanism used for the optoelectronic system,the optimal response of the motor was developed using the field-oriented method of modern technologies used with the development of a new type of controller as an effective part to adjust the optimal response of the motor and connect it with high-optimal response controllers to ensure optimal control is investigated as well.Thirdly,By characterizing(2-D)position sensors detectors used in the design of the optoelectronic system,analyzing its optimal response,using new software techniques to process the signal and synthesize it with the other component of the system,adaptive control system for two-axis tilt mirror for laser beam.identification and all control algorithms applied to laboratory laser beam steering at NCEPU.Laser designing the appropriate fuzzy rules with fuzzy controllers for the operation of the system,adopting the center's method of adjusting radiation deviation,novel algorithms are designed to solve the problem of adjusting the tilt angle of deviation at the central point,also edge reflecting problem solved by designing suitable calibration frame in software suitable for the specifications of the devices used to achieve significant system optimal response with minimum cost.Furthermore,the correlation between the numbers of feedback rings with the modification of the reference signal in each case the relation optimal response of the system has achieved a great achievement with the low cost of design.Fourthly,The speed signal has been adopted as a reference signal instead of the position signal.This is the main different point of system design from previous works.Intelligent system control parameters are changed periodically depending on the basic system feedback data,and requirements during operation.The centrality of the optimal deviation position point is tested for each time moment and constantly corrected to achieve optimal position.Fifthly,in certain applications,it's necessary to adjust the laser beam path in two positions instead of one for object detection purposes.In this case,the gas cylinder has been changed to another smooth type similar to that of the combustion system,so we have two deviation positions and they must be controlled individually.The system has been developed and added some new materials and added controls to new rules according to design requirements.Algorithms are designed to suit the optimal response specifications of the new model to achieve high-optimal response specifications,acceptable error ratio,and simple design cost.Laboratory results have been verified from the optimal response of the system with the addition of new logical controls and the modification of the rules of the previous fragment controls to suit the new design.