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EN
An application specific integrated design using Quadrature Linear Discriminant Analysis is proposed for automatic detection of normal and epilepsy seizure signals from EEG recordings in epilepsy patients. Five statistical parameters are extracted to form the feature vector for training of the classifier. The statistical parameters are Standardised Moment, Co-efficient of Variance, Range, Root Mean Square Value and Energy. The Intellectual Property Core performs the process of filtering, segmentation, extraction of statistical features and classification of epilepsy seizure and normal signals. The design is implemented in Zynq 7000 Zc706 SoC with average accuracy of 99%, Specificity of 100%, F1 score of 0.99, Sensitivity of 98% and Precision of 100 % with error rate of 0.0013/hr., which is approximately zero false detection.
EN
This study investigates a digital control system which is used in bearingless permanent magnet synchronous motors (BPMSMs). Compared with traditional permanent magnet synchronous motors, a BPMSM is characterized by higher speed and no mechanic friction. Therefore, the application value of the latter to the special area is higher than that of the former. An analysis from previous work on the BPMSM had proved its feasibility, and some performances such as suspension force, inductance and so on were also investigated. Based on this analysis, this study focuses on solving control problems in practical applications by designing a control system. The control system design includes overall schematic, hardware and software designs. Main software systems, including the force/current transform module and closed loop control module for radial displacement, are analyzed. Interface circuit for radial displacement, current feedback circuit and dead zone protection circuit are designed for the hardware system. Finally, several performance experiments have been conducted to verify the effectiveness of the designed digital control system. Experiment results indicate that the rotor has unique characteristics, such as stable suspension performance, good start-of-suspension performance, and rapid anti-disturbance features.
EN
The paper presents a laboratory test-bench with a three-phase two-level PWM rectifier. The setup is based on a 3.3kW integrated power module and a 32-bit fixed-point digital signal processor with a Simulink auto coder for rapid prototyping of control strategies. The setup has been diversified into separate modules for different tasks: grid voltage and grid current measurement modules, hardware dead-time block with IGBT gate signal inverted logic driver, analogue signal processing block for sensor-to-processor interface, auxiliary control electronics and power circuits with overvoltage and overload protections. These modules assembled in unit provide entire functionality of the laboratory setup with the PWM rectifier for flexible and fast implementation of control strategies either for their further development or for the purpose of didactics. In order to demonstrate the operation of the proposed test-bench Sliding-Mode Voltage Oriented Control with ?-PWM has been implemented to control the PWM rectifier. Numerous experimental results have been presented and discussed.
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