Sistemas de visão omnidirecional produzem imagens de 360º do ambiente podendo ser utilizados em navegação, tele-operação e controle servo visual de robôs. Este tipo de sistema dispensa o movimento da câmera para determinada direção de atenção mas requer processamento não convencional da imagem, uma vez que a imagem adquirida se encontra mapeada em coordenadas polares não lineares. Uma maneira efetiva de se obter uma imagem em um sistema omnidirecional é com o uso combinado de lentes e espelhos. Várias formas de espelhos convexos podem ser utilizadas montando-se uma câmera com o seu eixo óptico alinhado com o centro do espelho. Dentre as formas usadas, tem-se os cônicos, parabólicos, hiperbólicos e esféricos. Neste trabalho foi implementado um sistema de visão omnidirecional utilizando um espelho hiperbólico. Este sistema de visão desenvolvido é embarcado em um robô móvel e aplicado em uma tarefa de controle. A tarefa de controle de interesse neste trabalho é a de fazer com que o robô mantenha uma distância constante de um determinado alvo móvel. Esta tarefa é realizada com a realimentação em tempo real de informações visuais do alvo obtidas pelo sistema de visão para controle do robô utilizando uma abordagem de controle servo visual. / Omnidirectional vision systems can get images with a 360-degree of field of view. This type of system is very well suited for tasks such as robotic navigation, tele-operation and visual servoing. Such systems do not require the movement of the camera to the direction of attention of the robot. On the other hand, it requires a non-conventional image processing as the image captured by this vision system is mapped on a non-linear polar coordinate system. One effective way to obtain an image in an omnidirectional system is through the use of lenses and mirrors. Several different shapes of convex mirrors can be used, mounting the center of the mirror aligned with the camera optical axis. The most commonly used mirror shapes are conic, parabolic, hyperbolic and spherical. In this work a hyperbolical mirror was used to build an omnidirectional vision system. This system was mounted on a mobile robot and used in a control task. The task of interest here is the tracking in real time of a moving target keeping the distance between the robot and the target constant. This task is accomplished with data acquisition from the omnidirectional vision system, that is used as feedback to control the mobile robot in a visual servo approach.

Sistemas de visão omnidirecional produzem imagens de 360º do ambiente podendo ser utilizados em navegação, tele-operação e controle servo visual de robôs. Este tipo de sistema dispensa o movimento da câmera para determinada direção de atenção mas requer processamento não convencional da imagem, uma vez que a imagem adquirida se encontra mapeada em coordenadas polares não lineares. Uma maneira efetiva de se obter uma imagem em um sistema omnidirecional é com o uso combinado de lentes e espelhos. Várias formas de espelhos convexos podem ser utilizadas montando-se uma câmera com o seu eixo óptico alinhado com o centro do espelho. Dentre as formas usadas, tem-se os cônicos, parabólicos, hiperbólicos e esféricos. Neste trabalho foi implementado um sistema de visão omnidirecional utilizando um espelho hiperbólico. Este sistema de visão desenvolvido é embarcado em um robô móvel e aplicado em uma tarefa de controle. A tarefa de controle de interesse neste trabalho é a de fazer com que o robô mantenha uma distância constante de um determinado alvo móvel. Esta tarefa é realizada com a realimentação em tempo real de informações visuais do alvo obtidas pelo sistema de visão para controle do robô utilizando uma abordagem de controle servo visual. / Omnidirectional vision systems can get images with a 360-degree of field of view. This type of system is very well suited for tasks such as robotic navigation, tele-operation and visual servoing. Such systems do not require the movement of the camera to the direction of attention of the robot. On the other hand, it requires a non-conventional image processing as the image captured by this vision system is mapped on a non-linear polar coordinate system. One effective way to obtain an image in an omnidirectional system is through the use of lenses and mirrors. Several different shapes of convex mirrors can be used, mounting the center of the mirror aligned with the camera optical axis. The most commonly used mirror shapes are conic, parabolic, hyperbolic and spherical. In this work a hyperbolical mirror was used to build an omnidirectional vision system. This system was mounted on a mobile robot and used in a control task. The task of interest here is the tracking in real time of a moving target keeping the distance between the robot and the target constant. This task is accomplished with data acquisition from the omnidirectional vision system, that is used as feedback to control the mobile robot in a visual servo approach.

The theoretical stability analysis of mold level control system for slab continuous casting machine is presented in this thesis. In the procedure of analyzing the stability of the mold level control system, the PLC program written for the control system is studied first in order to obtain the mathematical model of a PID controller. Then the mathematical models of servo-amplifier, servo-valve, electro hydraulic system to the output of mold level are established. A simulative control system using Matlab software is constructed in accordance with these mathematical models so that not only the results of stability analysis can be verified but also the dynamic response of controlled system can be studied. Finally, the effects of some potential disturbance on system¡¦s dynamics, stability, and control accuracy are also analyzed.

This paper presents the results of servo designs for optical disk drives which consist of a dual-input/single-output (DISO) actuator; both a sledge actuator and a voice coil motor contribute to a radial movement of the spot on the disk. DISO systems are subset of multi-input/multi-output (MIMO) systems and thus the servo engineer can apply the design methods developed for MIMO controller design to the DISO compensator problems. These techniques include H2 , H¡Û and £g-synthesis. However, in order to obtain insights into the controller elements, in this study we prefer the H¡Û loop-shaping approach. Here, the focus is on stability and disturbance rejection. The method is presented for a master-slave control scheme in tracking servo, a parallel scheme in seeking servo, and a unit-feedback scheme in focusing servo. The maximum stability margin can be obtained in H¡Û loop-shaping algorithm. Furthermore, a robust controller guarantees to stabilize it would be carried out. Finally, computer simulation results are provided to show that the shaking disturbance due to the run-out of disk can be significantly attenuated and a good tracking performance can be achieved by the developed controller.

The main aim of this thesis is to create a library in TwinCAT PLC for Beckhoff motion control without NC task. This library is targeted for less performance controllers. The next part deals with creating a PLC application for motion control with digital I/O variables or with serial line. A Windows application will be created to configure the main parameters of motion control in the PLC Application.

This report aims to evaluate a wirelessly controlled robotic arm mounted on a 3-wheel platform that would act as a stabilized camera gimbal. The evaluation is focused on doing experiments to determine the accuracy and repeatability of the robotic arm and to examine if the arm can self-stabilize. Evaluation of the robot was done by 3D-printing a prototype and running experiments using a laser module attached to the robotic arm and measuring the error between the actual obtained points and the target points. The experiments were done on three iterations of the prototype where small changes have been done to the software and hardware components which in the last iteration gave an accuracy of 0,21mm and repeatability of 3,508mm. Stabilization was also achieved with a range of +/- 60 degrees in 3 orientations, roll, pitch and yaw. / Denna rapport utvärderar en fjärrstyrd robot-arm som är monterad på en 3-hjuligplattform som ska fungera som en stabiliserad kamera gimbal. Utvärderingen är utformat på att göra experiment för att bestämma noggrannheten och repeterbarheten av robotarmen och undersöka om robotarmen kan självstabilisera sig. En prototyp har skapats med hjälp av en 3D-skrivare och experiment gjordes genom att montera en laser på robotarmen, där mätningar har gjorts mellan målpunkterna och de erhållna punkterna. Efter 3 iterationer där vissa ändringar har gjorts till hårdvaran och mjukvaran, har en noggrannhet på 0,21mm, och repeterbarhet på 3,508mm åstadkommit. Stabiliseringen har också uppnåtts inom ett intervall av +/- 60 grader i 3 vinkel riktningarna.

International Telemetering Conference Proceedings / November 04-07, 1991 / Riviera Hotel and Convention Center, Las Vegas, Nevada / Early in the 1980s White Sands Missile Range (WSMR) began studying the problem of updating the Telemetry Tracking Systems (TTS) used to support test range missions. The information and equipment available at that time indicated that very little technology advancement had occurred in the area of TTS. Because the TTS usually have a long service life, it was imperative that the new or updated systems be as good as the state-of-the-art in todays technology could produce. Because of the lack of technology advancements, it was evident that drastic measures would be required to achieve the objectives of the update effort. These findings resulted in a program called the Advanced Telemetry Tracking System Integration and Development (ATTSID). Its objective was to determine if it was possible to apply advanced computer technology to the solution of servosystem problems characteristic in most TTS. This paper and three related papers, The Advanced Telemetry Tracking Servosystem; An Automated Testing System for a Telemetry Tracking System; and The Microcomputer-based Digital Controller for the Advanced Telemetry Tracking System; document the objectives, design considerations, fabrication and evaluation of a prototype TTS. It utilizes a dedicated computer system to control, compensate the servo position loop, and provide automated testing of the servo and RF receiving systems. This computer system was installed and evaluated in one of the WSMR Transportable Telemetry Acquisition Systems (TTAS) for evaluation and refinement of the system. The results of this program will determine the evolution of TTS and extend the use of computer technology to providing more reliable and accurate telemetry tracking support of test range operations.

Generally  cameras  are  used  for  area  based  surveillance,  but  with  advancement  in  technology, cameras  can  be  employed  for wide  area  space  surveillance  (volumetric space surveillance). The volumetric systems require a number of cameras in order to cover a large area. Single panoramic cameras  do  not  provide  required  functionality  for  wide  area  space  surveillance  and Pan-Tile-Zoom (PTZ) cameras do not either cover wide areas.   To  meet  this challenge,  we  propose  a  cost  effective smart volumetric  surveillance system  which utilizes smaller number of cameras in order to provide a coverage of 360 degree. A test case used for this system includes detection of birds in the wind farms. The proposed approach provides a solution  for recording/preventing collision  of  birds  with  wind turbine. To  realize  the  system, a model is developed with two camera nodes. This model provides a 360 degree conical volumetric space coverage. The  system is  utilizing  a  servo  motor  with  capability  of  changing  speed  and arduino  embedded  platform for  controlling  different  functionality. After  triggering  the  camera nodes from arduino, software perform the image analysis.  This  cost  effective  and  wide  area  surveillance  system  consumes at  least half lower  power as compared  to traditional  linear  systems with  eight  cameras. It  is  worth  noting  that  the system provides  conical  shaped  area coverage  of  200  square  meters  with  height ranging  from approximately 40 to 100 meters. The system would capture images in raw format in local storage and  the test  results  show  that  saving  images  with  PNG  format  requires a small  memory  size  as compared  to BMP  and TIFF.    Experiment  results  indicate  that  surveillance  system  can  be effectively employed for detecting birds in opening places.

Traditional methods for mechatronics design are often based on a sequential approach, where the mechanical structure is designed first, and then fitted with off-the-shelf electric motors, drive electronics, gearheads and sensors. Finally a control system is designed and optimized for the already existing physical system. Such a design method, that doesn’t consider aspects from a control point of view during the design of the physical system, is unlikely to result in a system with optimal control performance. Furthermore, to separately design and optimize each of the physical components will, from a global perspective, generally not result in a system that is optimal from a weight, size or cost perspective. In order to reach the optimal design of an integrated mechatronic system (mechatronic module) it is necessary to treat the system as a whole, considering aspects from all involved engineering domains concurrently. In this thesis such an approach to integrated design of mechatronic servo systems is presented. A design methodology that considers the simultaneous design of the electric machine, gearhead, machine driver and control system, and therefore enables global optimization, has been developed. The target of the design methodology is conceptual design and evaluation. It is assumed that the load to be driven by the servo system is known and well defined, a load profile describing the wanted load motion and the corresponding torque, is required as input. The methodology can then be used to derive the lightest or smallest possible system that can drive the specified load. Furthermore, the control performance is evaluated and optimized, such that the physical system design and the controller design are integrated. The methodology is based on modelling and simulation. Two types of component models have been developed, static and dynamic models. The static models describe relations between the parameters of the physical components, for example a component’s torque rating as function of its size. The static models are based on traditional design rules and are used to optimize the physical parts of the system. The dynamic models describe the behaviour of the components and are used for control system design and performance optimization. The gear ratio is identified to be the most central design variable when designing and optimizing electromechanical servo systems. The gear ratio directly affects the required size of the gearhead, electric machine and the machine driver. But it has also large influences on the system’s control performance. It is concluded that high gear ratios generally are better from a control point of view than low ratios. A consequence of this is that it is possible, without compromising the control performance, to use less expensive (less accurate) sensors and microprocessors in high gear ratio servo systems, while low gear ratio systems require more expensive hardware. It is also concluded that it is essential to include all performance limiting phenomena, linear as well as non-linear, in this type of integrated analysis. Using for example a linearized system description for controller design, means that many of the most important couplings between control system and physical system design are overlooked. / QC 20100816

In this research, a single PAN-TILT image servo system has been developed with real-time face tracing technology. First, the target face is detected, and then the target template is kept at the image center with the integration of optical flow algorithm and control theory. In motion control, back-propagation neural network is taken to predict and estimate the target position. Experiments are made to analyze the performance of the video servo control system.