Modular Control-Loop Detection

Introduction: Dermatoglyphics is the branch of medical science that is concerned with the study of dermal ridges present on fingers, palms, toes and the soles of the human being. There may have some association between fingerprints and schizophrenia regarding the developmental background of skin ridge pattern and brain.So this study was conducted to find out the fingerprint patterns in schizophrenic patients and also to find out sex variation of fingerprint patterns in between schizophrenic male and schizophrenic female. Objective: This study was carried out with a view to find out the fingerprint patterns in schizophrenic patients. Methodology: A total of 200 samples were selected. Among them, 100 were schizophrenic and 100 were normal healthy control. Samples were taken in between 15 to 40 years of age. Selection of schizophrenic sample was performed by a qualified psychiatrist. Fingerprints were taken by Ink and pad method, described by Cummins. Fingerprint patterns were observed by using a magnifying glass. Results: The frequency of common fingerprint pattern was reduced in schizophrenia. In healthy control loop pattern was predominant. But in schizophrenia frequency of loop pattern was reduced and there was an increased frequency of whorl and arch pattern. Conclusion: Asdermatoglyphics is genetically determined, predominant whorl and arch pattern found among the schizophrenic patients might provide a presumptive value which would aid in diagnosis of the disease. KYAMC Journal Vol. 10, No.-2, July 2019, Page 66-72

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Continuous Control Set Predictive Current Control for Induction Machine

Applied Sciences ◽

10.3390/app11136230 ◽

2021 ◽

Vol 11 (13) ◽

pp. 6230

Author(s):

Toni Varga ◽

Tin Benšić ◽

Vedrana Jerković Štil ◽

Marinko Barukčić

Keyword(s):

Control Method ◽

Induction Machine ◽

Current Control ◽

Continuous Control ◽

Loop Model ◽

Voltage Reference ◽

Control Loop ◽

Speed Tracking ◽

Finite Control ◽

Control Set

A speed tracking control method for induction machine is shown in this paper. The method consists of outer speed control loop and inner current control loop. Model predictive current control method without the need for calculation of the weighing factors is utilized for the inner control loop, which generates a continuous set of voltage reference values that can be modulated and applied by the inverter to the induction machine. Interesting parallels are drawn between the developed method and state feedback principles that helped with the analysis of the stability and controllability. Simple speed and rotor flux estimator is implemented that helps achieve sensorless control. Simulation is conducted and the method shows great performance for speed tracking in a steady state, and during transients as well. Additionally, compared to the finite control set predictive current control, it shows less harmonic content in the generated torque on the rotor shaft.

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