Digital Fuzzy Current Mode Controlled Integrated PFC Converter with External Ramp Compensation

2018 ◽  
Vol 27 (09) ◽  
pp. 1850147 ◽  
Author(s):  
Mopidevi Subbarao ◽  
Ch. Sai Babu ◽  
S. Satyanarayana ◽  
P. Chandra Babu Naidu
Keyword(s):  
Fuzzy Logic Controller ◽  
Current Mode ◽  
Regulatory Standards ◽  
Control Switch ◽  
Novel Method ◽  
Overall Performance ◽  
Digital Processor ◽  
Linear Controllers ◽  
Compensation Signal ◽  
Processor Board

This paper propounded a novel method of design and realization of a digital fuzzy controlled buck integrated power factor correction (PFC) converter. It derives its advantages through the low buck capacitor voltage and single control switch (SW1), which leads to reduced complex control and price. Sub-harmonic oscillations generated in the peak current mode technique can be nullified by using the ramp signal, thereby improving the overall performance of the converter. The fuzzy logic controller (FLC) is robust and effective than the conventional linear controllers like P, PI, PID. In this paper, the digital fuzzy current mode controlled integrated PFC converter with external ramp compensation signal for 100 W load operating in the universal range of voltage (90[Formula: see text]V–265[Formula: see text]V), 50[Formula: see text]Hz has been designed and implemented using MATLAB/Simulink, verified in hardware using the TMS320F2812 digital processor board, and the results are found to be complying with international regulatory standards (IEC 6100-3-2 and IEEE 519-1992).

scholarly journals Fuzzy LPCM controlled buck integrated PFC convert-er for Class-C&D appliances

2018 ◽  
Vol 7 (1.8) ◽  
pp. 35 ◽  
Author(s):  
Mopidevi Subbarao ◽  
Ch. SaiBabu ◽  
S. Satyanarayana
Keyword(s):  
Fuzzy Controller ◽  
Frequency Converter ◽  
Current Mode ◽  
Peak Current ◽  
Current Controller ◽  
Control Switch ◽  
Novel Method ◽  
Overall Performance ◽  
Linear Controllers ◽  
Ramp Signal

This propounded a novel method of design and implementation of a fuzzy linear peak current mode (LPCM) controlled Buck Integrated Power Factor Correction (PFC) Converter. It derives its advantages through low buck capacitor voltage and single control switch, which leads to reduced complex control and price. Sub-harmonic oscillations generates in peak current controller can be nullified by using ramp signal, there by improves the overall performance of the converter. The fuzzy controller (FLC) robust and effective than conventional linear controllers like P, PI, PID, hence in this work a (90 – 265V), 50Hz AC, 48V DC and 100 kHz frequency converter is implemented in MATLAB/Simulink software and results are verified experimentally. Results show that converter meets international regularity commission regulations.

scholarly journals Fuzzy peak current controlled integrated PFC convert-er with slope compensation

2018 ◽  
Vol 7 (1.8) ◽  
pp. 31
Author(s):  
Mopidevi. Subbarao ◽  
Ch. Saibabu ◽  
S. Satyanarayana
Keyword(s):  
Fuzzy Controller ◽  
Frequency Converter ◽  
Current Mode ◽  
Peak Current ◽  
Current Controller ◽  
Control Switch ◽  
Novel Method ◽  
Overall Performance ◽  
Linear Controllers ◽  
Ramp Signal

This propounded a novel method of design and implementation of a fuzzy peak current mode (PCM) controlled Buck Integrated Power Factor Correction (PFC) Converter with compensation ramp. It derives its advantages through low buck capacitor voltage and single control switch, which leads to reduced complex control and price. Sub-harmonic oscillations generates in peak current controller can be nullified by using ramp signal, there by improves the overall performance of the converter. The fuzzy controller (FLC) robust and effective than conventional linear controllers like P, PI, PID, hence in this work a (90 – 265V), 50Hz AC, 48V DC and 100 kHz frequency converter is implemented in MATLAB/Simulink software and results are presented. Results show that converter meets international regularity commission regulations.

CDBA based current instrumentation amplifier

2016 ◽  
Vol 4 ◽  
pp. 11 ◽  
Author(s):  
Priyanka Gupta ◽  
Kunal Gupta ◽  
Neeta Pandey ◽  
Rajeshwari Pandey
Keyword(s):  
Current Mode ◽  
Instrumentation Amplifier ◽  
Pspice Simulations ◽  
Differential Gain ◽  
Novel Method ◽  
Current Difference ◽  
A Current

This paper presents a novel method to realize a current mode instrumentation amplifier (CMIA) through CDBA (Current difference Buffered Amplifier). It employs two CDBAs and two resistors to obtain desired functionality. Further, it does not require any resistor matching. The gain can be set according to the resistor values. It offers high differential gain and a bandwidth, which is independent of gain. The working of the circuit is verified through PSPICE simulations using CFOA IC based CDBA realization.

scholarly journals FPGA based Performance Analysis of Speed Control Permanent Magnet Synchronous Motor Drive with Pi and Fuzzy Logic Controller

2020 ◽  
Vol 8 (6) ◽  
pp. 5317-5321
Keyword(s):  
Fuzzy Logic ◽  
Permanent Magnet ◽  
Fuzzy Logic Controller ◽  
Permanent Magnet Synchronous Motor ◽  
Speed Control ◽  
Synchronous Motor ◽  
Resistive Load ◽  
Speed Tracking ◽  
Overall Performance ◽  
Random Change

Present research demonstrates an experimental work and simulation of FPGA based PMSM drives consists of PI and Fuzzy logic controller, for speed control under load, zero load and random change in load conditions. It also delineates the overall performance of a closed loop vector Permanent Magnet Synchronous Motor (PMSM) drive consisting of two loops, current for inner and speed for outer loops for better speed tracking systems. The resistive load which is connected across the armature of dc shunt motor and coupled with PMSM is varied. The resultant speed and torque are studied in details. Result showed that in case of fuzzy logic controller, the peak overshoot and settling time can be minimized. This FPGA based PMSM drives can be used for different paramount application under constant speed.

scholarly journals Drown Alerting, Preventing And Autonomous Rescue System using Ardiuno, Tacticle switche (weight sensors) and Artificial Intelligence

2021 ◽  
Vol 10 (2) ◽  
pp. 762-766
Keyword(s):  
Artificial Intelligence ◽  
Swimming Pool ◽  
Human Intervention ◽  
Present Design ◽  
Rescue System ◽  
Novel Method ◽  
Processor Board

This paper introduces a novel method of automatic lifesaving swimming pool design to save a drowning victim in a helpless condition by using latest ardiuno(IoT) processor board and the framework. This method utilizes artificial intelligence to save drowning victims without the need of a life-guard(human intervention) from fatal death and also associated specific alerting mechanisms like a loudspeaker. In the present paper, a swimming pool framework is proposed with a responsive elevator assebly surface which is covering entire pool bottom, housing several weight sensitive waterproofed tactical switches arranged to sense any individual or any object incidence(falling) on bottom of the pool ,and associated alerting devices like loud speakers, and a drain motor control.The automatic rescue designs have not been tried succesfull so far in literature effectively so far. The present design delt with simplest algorithm and latest mechanical supporting strucures, and fast responding ardiuno processor. The finished prototype has given promising results in solving defined problem.

Evaluating Supplier Involvement Using DEA and Piecewise Triangular Fuzzy AHP

2007 ◽  
Author(s):  
Shouhua Yuan ◽  
Yiliu Tu ◽  
Deyi Xue
Keyword(s):  
Decision Making ◽  
Fuzzy Ahp ◽  
Pairwise Comparison ◽  
Comparison Method ◽  
Data Envelopment ◽  
Novel Method ◽  
Overall Performance ◽  
Dea Method ◽  
The Individual ◽  
Hierarchy Process

Data Envelopment Analysis (DEA) has been widely applied in evaluating multi-criteria decision making problems which have multi-inputs and multi-outputs. However, the traditional DEA method does neither take the decision maker’s subjective preferences to the individual criteria into consideration, nor rank the selected options or decision making units (DMUs). On the other hand, Satty’s Analytical Hierarchy Process (AHP) was established to rank options or DMUs under multi-inputs and multi-outputs through pairwise comparisons. But in most cases, the AHP pairwise comparison method is not perfectly consistent, which may give rise to confusions in determining the appropriate priorities of each criterion to be considered. The inconsistency implicates the fuzziness in generating the relative important weight for each criterion. In this paper, a novel method which employs both DEA and AHP methods is proposed to evaluate the overall performance of suppliers’ involvement in the production of a manufacturing company. This method has been developed through modifying the DEA method into a weighting constrained DEA method by using a piecewise triangular weighting fuzzy set which is generated from the inconsistent AHP comparisons. A bias tolerance ratio (BTR) is introduced to represent the varying but restrained weighting values of each criterion. Accordingly, the BTR provides the decision maker a controllable parameter by tightening or loosening the range of the weighting values in evaluating the overall performance of available suppliers, which in hence, overcomes the two weaknesses of the traditional DEA method.

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