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Sairabanu, S.
- An Intelligent Technique based MRPID Controller for Controlling the Speed of an IPMSM Drive System
Abstract Views :125 |
PDF Views:0
Authors
R. Aruna
1,
S. Sairabanu
1
Affiliations
1 Department of Electronics and Communication Systems, Karpagam University, Coimbatore - 641021, Tamil Nadu, IN
1 Department of Electronics and Communication Systems, Karpagam University, Coimbatore - 641021, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 30 (2016), Pagination:Abstract
Background/Objectives: In the paper, AN intelligent technique is planned for dominant the speed of Interior Static Magnet Electric Motor (IPMSM). AN intelligent technique is that the combos of Multi Ripple Remodel (MWT) and Accommodative Neuro Fuzzy Illation Systems (ANFIS) with aid of Artificial Bee Colony (ABC) algorithmic rule. Initially, AN objective perform is outlined that is subjected to equality or difference constraints for dominant the performance of IPMSM. Methods: Here, the error signal of speed is applied to the input of planned self standardization model that's calculated by sensing the motor speed. At intervals the planned controller, the multi riffle make over is utilized to decompose the error signal getable from the actual speed and command speed signal into altogether completely different frequency parts. Findings: Then, the controller gain is about from the activity model that depends on the speed variation of the system. The parameters of the planned controller area unit are optimized by victimization fundamentals formula. Then the calculated error coefficients are exaggerated with their individual gains to return up with associate overall management signal. Application and Improvements: The projected management model is enforced in MATLAB/Simulink operating platform and therefore the management performance is evaluated with completely different speed levels. Moreover, the result of projected management is compared with existing management techniques similar to pelvic inflammatory disease controller, wave based mostly MRPID controllers and MWNN-PSO based MRPID controller.Keywords
ABC, ANFIS, IPMSM, MRPID Controller, Multi Wavelet, Speed and PSO.Full Text
- Efficient Hardware Architecture of EEG Analyzer for Determining the Depressive Disorders
Abstract Views :166 |
PDF Views:0
Authors
Affiliations
1 Department of Electronics and Communication System, Karpagam University, Coimbatore - 641021, Tamil Nadu, IN
1 Department of Electronics and Communication System, Karpagam University, Coimbatore - 641021, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 29 (2016), Pagination:Abstract
Background/Objectives: In this paper, economical hardware design of the Electroencephalography (EEG) is planned for deciding the depressive disorders. The goal of this paper is development of moveable device supported encephalogram analysis targeted at analysis of mental disorders. Methods/Statistical Analysis: We presented a modified architecture of the Power Spectral Density (PSD) and also Spectral Asymmetry Index (SASI) for depression detection. Finding: The proposed architecture of the PSD computation reduces the computational complexity and hardware requirement due to the adaption of the merging process. SASI algorithm reveals the disturbed state of the brain. Improvements/Application: The planned hardware design is meant victimization Field Programmable Gate Array (FPGA). This design is simulated and tested victimization VHDL and synthesized victimization Xilinx ISE fourteen.Keywords
Electroencephalography (EEG), Field Programmable Gate Array (FPGA), Merging Process, Power Spectral Density (PSD), Spectral Asymmetry Index (SASI).Full Text