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    Comparison of Extended-Kalman- and Particle-Filter-Based Sensorless Speed Control
    (Ieee-Inst Electrical Electronics Engineers Inc, 2012) Aydogmus, Omur; Talu, Muhammed Fatih
    State estimation process is one of the major concerns for controlling and monitoring systems in industry which requires high-cost measurements or unmeasurable variables of nonlinear systems. These drawbacks can be highly eliminated by designing systems without using any kind of sensors. In this paper, sensorless speed control of a dc motor was performed by using extended Kalman filter (EKF) and particle filter (PF). The speed information is estimated by using armature current data measured from a dc motor which is controlled in various speed references with a closed-loop controller. Furthermore, a performance comparison of the EKF and the PF by taking into consideration their estimation errors under the same conditions was realized in a simulation environment. The comparison results showed that the estimation performance of the PF is more accurate but slower than the EKF. The quantitative values of accurateness and slowness are depended on the particle number of the PF. The obtained computation times of the PF having ten particles and the EKF are 180 and 15 mu s, respectively.
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    A vision-based measurement installation for programmable logic controllers
    (Elsevier Sci Ltd, 2012) Aydogmus, Omur; Talu, Muhammed F.
    A vision-based measurement system is presented to obtain an economic installation for control and observe more than one process variables in industrial applications by using a Programmable Logic Controller (PLC) powered via Object Linking and Embedding for Process Control (OPC) technology. The proposed measurement system consists of a PLC, a simple webcam and a Supervisory Control and Data Acquisition (SCADA) PC. The proposed system is performed by using a pressure test bench to show performance of traditional and proposed measurement installations for an industrial PLC in real-time operation. The trend views of measured variables are compared at the same conditions and discussed in terms of price for one process variable. (C) 2012 Elsevier Ltd. All rights reserved.