Journal of Computational Intelligence and Secure Systems of Artificial Intelligence

This paper presents an algorithm used to control the attitude of satellites in their orbit with the goal of reducing fuel consumption and increasing operational lifespan. A fuzzifying controller was therefore deployed to save fuel while dealing with the uncertainties and nonlinearities of the satellite control system based on its effective performance and simplicity. The suggested control algorithm displays an extremely high level of reliability in the face of adverse unintended disturbances consistent with the satellite’s constraints. Low-frequency limit cycles result from the natural chatter of the on-off controllers. This results in the increase of system error and the greater fuel consumption for the satellite. To minimize the system error, the algorithm of Particle Swarm Optimization (PSO) was used. Simulation results for the satellite show that the fuzzy on-off controller is greatly enhanced once this algorithm is applied.

Keywords : PSO, Limit cycle, Satellite attitude control, Fuzzy on-off control

Author : Sridhar

Title : Implementation of Fuzzy for Satellite Attitude Control by Two State Actuator to Reduce Limit Cycle

Volume/Issue : 2025;01(01)

Page No : 01-04

If correctly prepared and constructed, polymer nanocomposites have promise high performances as engineering materials. Using the most recent developments in nanotechnology, samples of nanocomposite polymers have been prepared for use as electrical insulators on electric power cables. This study examined the improved electrical and dielectric qualities of polyvinyl chloride (PVC) as a matrix and found that the addition of inexpensive nanofillers like clay and fumed silica significantly alters the trapping properties. The new nanocomposite materials' capacitance and dielectric loss have been experimentally studied and contrasted with empty industry materials. A robust correlation between the percentage of nanofillers and capacitance and dielectric loss values is found. Consequently, the effect of affordable nanofiller material and concentration on the dielectric properties of composite systems based on commercial polymers has been investigated. Unfilled base polymers and systems of a single type of nanoparticles, clay or fumed silica, are compared in the host polymer at various concentrations.

Keywords : Insulation, Dielectric materials, Polymers, Nanoparticles, Nanocomposite

Author : Naresh Nair

Title : Measurements of Experimental Dielectric for Less Expensive Nanocomposites using Fuzzy Logic for Polyvinyl Chlorides

Volume/Issue : 2025;01(01)

Page No : 05-08

Cascade multilayer artificial neural network models were created in order to estimate the processed cheese that was being stored at 7-8 degrees Celsius. Mean square error, RMS, and coefficient of determination were among the metrics used to compare the prediction power of the built models. The created model, which showed an exceptional agreement between the actual and anticipated datum, demonstrates that multilayer cascade models can estimate the shelf life of processed cheese.

Keywords : Cascade, ANN, AI, Processed Cheese, Shelf Life

Author : Niveditha Thomas

Title : Artificial Neural Networks to Estimate Processed Cheese

Volume/Issue : 2025;01(01)

Page No : 09-12

This work is cantered in the analysis of a near loop Cuk PFC converter. The buck or buck-boost converter continuously presents a discontinuous input current profile regardless of input line voltage or output load conditions. The boost converter also suffers from the strains that appear across the power electronics apparatus associated with high voltage. Cuk converter Input current behaves like the boost converters one. The output voltage is regulated through power factor correction (PFC) as well as inner and outer voltage control loops. It presents lower THD on input current dependent on the variable input voltage and load on the output side, a power factor very close to one, and better output voltage regulation in the AC-DC converter for different input/output scenarios. This work provides a comparative performance of open loop Cuk rectifiers, close loop Cuk rectifiers, and standard diode rectifiers. An algorithm is developed and simulated, designing a near loop Cuk rectifier within a digital environment.

Keywords : PWM, digital algorithm, Cuk topology, PI control, inner current loop, Outer voltage loop

Author : Suresh Nair

Title : AC-DC Converter Using a Single Stage Single Phase Active Power Factor Corrected CUK Topology

Volume/Issue : 2025;01(01)

Page No : 13-16

The Hybrid ANN model of Functional Link Fuzzy Logic Neural Model proposed for this study is used to predict future stock close price of BSE and NSE stock exchanges. The pre-processing of raw data of the BSE and NSE stock exchange’s, historical raw data has been made such that it falls between 1 and 0. The inputs are first pre-processed before they are viewed by the functional expansion function to perform neural actions. Fuzzy sets are applied on the neuron’s activation function to show the upcoming near price of the BSE and NSE stock exchanges. The model is trained with historical data from stock exchange, which had undergone pre-processing and during testing phase; prediction rate of (Functional Link Fuzzy Logic Neural Model Proposed Hybrid ANN is ascertained by means of performance metrics.

Keywords : Back propagation, BSE, ANN, FLFNM, MAPE, SENSEX

Author : Suresh Naik

Title : Implementation of Artificial Neural Networks and Fuzzy Logic for Closing Stock Exchange

Volume/Issue : 2025;01(01)

Page No : 17-20

With the aid of an experimental model, this research aims to illustrate the value of a fuzzy logic controller in comparison to traditional techniques. Additionally, MATLAB Simulation is used to show an effective simulation model for fuzzy logic-controlled DC motor drives. The microcontroller's design and real-time implementation were demonstrated. Applying the direct digital control approach to position control systems is the focus of this paper. To regulate the output response, two controller types—PID and fuzzy logic controllers—will be employed. The comparison and study of positions from a DC motor being controlled by fuzzy and traditional PID controllers are made. The ATMega16 microcontroller is also tested for its ability to keep the position of the DC motor stable. The experimental data reveal that FLC leads to fewer sharp changes and steady state behavior, making FLC a better option for positioning control of a motor than the traditional PID. Because DC motors have characteristics that are not perfectly straight, the performance of standard controllers decreases.

Keywords : Position control system, FLC, DC motors, PID controller, Non-linear systems

Author : Naresh and Srinivas

Title : Fuzzy Position Control System Design and Implementation for Application Tracking and Performance Comparison with PID

Volume/Issue : 2025;01(01)

Page No : 21-24