http://210.212.227.212:8080/xmlui/handle/123456789/530 2026-05-17T00:05:32Z 2026-05-17T00:05:32Z Suhaib, J. Mathew, P. Abraham http://210.212.227.212:8080/xmlui/handle/123456789/540 2023-11-16T06:13:15Z 2023-06-26T00:00:00Z

MODELLING, ESTIMATION AND PATH LENGTH CONTROL OF RING LASER GYROSCOPE Suhaib, J.; Mathew, P. Abraham A gyroscope is a form of measurement equipment that relies on the principle of momentum con servation, stating that a rotating object will continue to rotate unless acted upon by an external force. This project focuses on a specific type of gyroscope called a ring laser gyroscope, which utilizes the Sagnac effect. The ring laser gyroscope is susceptible to various disturbances, such as fluctuations in ambient temperature. These disturbances can lead to significant deviations between the output data and the actual values, resulting in inaccurate angular measurements. One of the factors affected by temperature change in the ring laser gyroscope is the path length. The path length refers to the total distance travelled by the counter-propagating light beams, which generates the interference pattern used to determine the angular rate. The laser gain pro file should operate within the peak region for accurate angular rate measurements. However, the self-heating caused by temperature changes significantly alters the path length, shifting the operating point away from the peak and into one of the off-peak regions. To address this issue, adjustments can be made to the path length by modifying the refractive index of the air column and employing operating mode switching. These adjustments aim to bring the system back to its peak operating point. However, the current control system requires further refinement to achieve precise control, as it gets subjected to self-heating and external temperature changes. This research proposes a control strategy named model reference adaptive control, which treats the path length loop as a system and introduces external corrections by referencing a desired model system. By utilizing this approach, the system is concluded that the system will perform more effectively despite temperature fluctuations, leading to improved outcomes

2023-06-26T00:00:00Z Resma, Radhakrishnan Sheeba, R http://210.212.227.212:8080/xmlui/handle/123456789/539 2023-11-16T06:09:44Z 2023-05-01T00:00:00Z

OPTIMAL DESIGN OF CONVERTER CIRCUIT SUITABLE FOR INDUCTION HEATING Resma, Radhakrishnan; Sheeba, R Increased energy requirements demands photovoltaic systems to be linked into the grid so as to contribute to the overall power generation. Maximum Power Point Tracking (MPPT) is a technique used by variable power source for extracting maximum power. For tracking maxi mum power one of the most trustworthy technique is Incremental conductance (INC) MPPT method. However conventional INC algorithm is unable to track maximum power with altering step size. So a novel Incremental Conductance approach using a Fuzzy Logic controller (FLC) is implemented in which a fuzzy logic algorithm is used to vary the step size. The fuzzy logic system is developed by location of fuzzy inputs regarding different regions. The fuzzy inputs are obtained from the slope of power voltage relation. Using the current voltage ratio and its derivatives membership functions and rules are designed. A solar PV system is implemented using the INC and FLC methods and is simulated in Matlab. The simulation findings show that using the FLC approach increases the system’s ability to respond to dynamic changes by boosting its dc output power and cutting down on the time it takes to reach the steady state when compared to the conventional INC method. We use a solar-powered induction cooker to reduce the issue with utility during peak hours. Due to its high efficiency and gentle switching capabilities, a Full bridge resonant converter is developed to satisfy the need. Full bridge series resonant circuit is used for the heating purpose where the circulating magnetic fields induces an eddy current which induces heating. The Mat lab or simulink platform is used to simulate the developed FLC method in conjunction with the full bridge resonant converter. The outcomes shows that the system is more effective in terms of output power

2023-05-01T00:00:00Z Meenu, R Mohammed, Shanir P P http://210.212.227.212:8080/xmlui/handle/123456789/538 2023-11-16T06:05:32Z 2023-06-01T00:00:00Z

A HIGH GAIN MULTI-INPUT INTERLEAVED BIDIRECTIONAL CONVERTER(MI-IBC) FOR ENERGY STORAGE APPLICATIONS Meenu, R; Mohammed, Shanir P P DC-DC converters are frequently used in electric vehicles, energy storage systems, and DC mi crogrids to convert a DC voltage from one level to another. Bidirectional DC-DC converters are converters that allow power to flow in both forward and backward directions. Bidirectional converter with high gain voltage is essential for energy conversion applications such as vehicles, medical devices, smart lighting’s etc. This work proposes a high gain multi-input bidirectional DC-DC converter for the interface between an energy storage system and a DC micro-grid, which is important for DC-DC topologies. An Interleaved Bidirectional Converter (IBC) is located in the Low Volatge Side (LVS) to reduce the ripple in input current as well as output voltage. A voltage doubler is located in the High Voltage Side (HVS) to achieve high gain voltage conversion ratio. A simple and cost effective PWM plus Phase Shift (PPS) control is used in this work. As a modification to the existing bidirectional DC-DC converter for charging stations, PV panel is introduced as one of the input sources to create a cost-effective charg ing system, makes the proposed converter as a multi-input DC-DC converter. Zero-oscillation Maximum Power Point Tracking (MPPT) algorithm is used to extract maximum power from solar PV panels. Based on the available irradiation level, the control topology selects either a PV panel or a DC source as the input. To verify the effectiveness of the proposed converter and control topology, 800 W, 240V MI-IBC with switching frequency 30 KHz is designed and simulated in this work.

2023-06-01T00:00:00Z Giri, Govind S Mohammed, Shanir P P http://210.212.227.212:8080/xmlui/handle/123456789/537 2023-11-16T06:03:05Z 2023-06-01T00:00:00Z

OPTIMISED MULTISOURCE EV CHARGING STATION WITH GRID VOLTAGE SAG CONTROL Giri, Govind S; Mohammed, Shanir P P The voltage quality is the major issue in the distribution grid due to sudden load changes, elec tric motor starting, a fault occurring in the distribution grid, accidents in the power line, and energizing the transformers. The poor voltage quality directly affects the electric vehicle (EV) charging profile and battery life. A high-quality power supply is required for the proper func tioning of the EV charging system. However, the voltage quality is one of the significant issues in the distribution grid. The proposed system is to reduce the impacts of voltage disturbance on EV batteries and charging systems by providing a dynamic voltage restorer (DVR) to enhance the voltage sag. It protects the EV batteries and charging system from the critical voltage sag levels. A solar Photovoltaic (PV) array with backup battery energy storage (BES) and grid based EV charging station (CS) with voltage sag control is introduced to provide the uninterrupted charg ing in standalone, battery powered and grid connected mode. The charging station is mainly designed to work in solar PV array and a BES to charge the vehicle. The charging station au tomatically draws power from the grid due to the discharge of the storage battery and the lack of solar power. The goal is to ensure that the charging station has a constant and uninterrupted power supply. As a result, an automatic switching control is implemented. The controller will switch the energy source automatically based on the output parameters of the energy sources. As a result, the charging station ensures that the EV is charged continuously.

2023-06-01T00:00:00Z