http://dspace.dtu.ac.in:8080/jspui/handle/123456789/76 2026-07-22T19:39:42Z 2026-07-22T19:39:42Z NATH, ARIJIT JOSHI, DHEERAJ (SUPERVISOR) http://dspace.dtu.ac.in:8080/jspui/handle/repository/23025 2026-07-06T09:18:31Z 2026-05-01T00:00:00Z

Title: PERFORMANCE ANALYSIS OF BOOST CONVERTER USING SOFT SWITCHING SCHEMES Authors: NATH, ARIJIT; JOSHI, DHEERAJ (SUPERVISOR) Abstract: The growing rate of renewable energy systems and electric vehicles' technology has driven the need for efficient DC-DC power converters. Boost converter is one of the attractive converter topologies that can step up the low input voltage to higher output voltage. The voltages generated by renewable energy sources, like PV systems and fuel cells, are typically low and variable in nature. Thus, effective techniques in voltage boosting is vital for the correct power conversion and utilization. Boost converters are commonly used in electric vehicle applications such as motor drive application and battery management system. The drawback of using conventional boost converter at high frequency is high switching losses. Such switching losses reduce efficiency and cause thermal stresses on semiconductor devices. To surmount these drawbacks, the soft switching techniques are adopted in the design of converter. Zero Voltage Switching (ZVS) and Zero Current Switching (ZCS) are two important soft-switching methods used in power electronics. These techniques minimize switching stress and enhance the efficiency of the converter. ZVS converters operate by switching element on and off when the voltage across the switch goes to zero. This minimizes switching losses and reduces electromagnetic interference. The switch is turned on when the current flows through the switch is zero, in ZCS converters. This lowers the stress and switching losses in operation. The present work is emphasizing on the design and analysis of different configuration of ZVS and ZCS boost converter. A variety of converter topologies are explored to study their performance characteristics. The proposed converters operate at high-frequency. The high frequency operation results in a reduction of the size of passive components (inductors and capacitors). But in the classical power converter high frequency switching results in high switching losses. Thus, software switching techniques are necessary for an efficient operation. Various configurations of ZVS and ZCS boost converter in open loop condition are presented in the paper. The converters are modelled and simulated in MATLAB R2023a software. MATLAB Simulink is a flexible platform to analyse the behavior of the converter. The switching characteristics of these converters are better understood by simulating them. Different parameters like output voltage, current wave orm, switching stress and efficiency are studied. The voltage stress of switching devices are reduced in the proposed ZVS converter configuration. Likewise, the ZCS converter configuration shows a lower current stress during switching transitions. Switching waveforms are used to check the implementation of the soft switching conditions. The switching loss is reduced, which leads to an improvement of the overall efficiency of the converter system. The converters also have smoother voltage and current waveforms than the conventional converters. Switching stress is reduced and the reliability and lifespan of semiconductor devices are improved. For renewable energy applications where efficiency is a key concern, soft switching converters are very appropriate. Boost converters are employed for the connection between the solar panels and the DC buses in the PV systems or with the battery systems. Such applications can be enhanced in terms of power conversion efficiency by the proposed converters. For a battery powered system, an efficient DC-DC conversion is essential in an electric vehicle. The soft-switching boost converters designed can help in energy saving in EV systems. The simulation results match the stable operation of the converter topologies under the various operating conditions. Successful regulation of the output voltage is obtained in open loop mode. The resonant components used in the converter help in achieving soft-switching conditions. Efficient operation of the converter requires the proper design of its resonant inductors and capacitors. Operating principle of various converter configurations are also discussed. Switching sequences are analyzed in detail to get insight to the converter performance. The voltage and current waveforms simulated agree with the theoretical analysis. The proposed converter configurations can offer higher efficiency than hard switched converter. Lower switching losses results in decreased heat generation in the converter circuit. This makes the need for big heat sinks and cooling systems unnecessary. Consequently, the entire converter system is compact and economical. The study shows that soft-switching techniques are greatly beneficial in the modern power electronic system. The designed converter models can be further expanded on for the closed loop control analysis. Advanced controllers for voltage regulation and stability improvement can be implemented in the future.The proposed work helps in the development of efficient DC-DC conversion for renewable energy and EVs applications. The study emphasizes that in order to reduce switching losses and increase the efficiency, ZVS and ZCS techniques are important. Thus, soft-switching boost converter is a potential solution to future sustainable energy.

2026-05-01T00:00:00Z RAJ, SHUBHAM MATTA, ANKITA (SUPERVISOR) http://dspace.dtu.ac.in:8080/jspui/handle/repository/23023 2026-07-06T09:18:17Z 2026-05-01T00:00:00Z

Title: DESIGN AND IMPLEMENTATION OF A KHN BASED FILTER FOR GRID SIGNAL CONDITIONING AND INTEGRATION Authors: RAJ, SHUBHAM; MATTA, ANKITA (SUPERVISOR) Abstract: In this work, the design of an innovative phase-locked loop using KHN filters is presented. This PLL design was developed in order to synchronize the input signal under adverse conditions, particularly weak and distorted sources of electricity. In today’s environment of electrical power grids, synchronization becomes challenging due to the effects of harmonic distortion, voltage fluctuation, frequency deviation, and weak power grid properties. Traditional methods used in PLL technology may not be very successful in dealing with these adverse conditions in terms of accuracy and stability. Hence, a new PLL design with the use of a KHN (Kerwin-Huelsman Newcomb) filter was implemented. KHN Filter considerably enhances the performance of harmonic filters in distinguishing desired signals from unwanted distortions. This leads to improved phase detection performance and synchronization capability even under harsh conditions in the grid system. Moreover, the proposed design will also improve dynamic properties, making the PLL more responsive to changes in the grid voltage and/or frequency. This is particularly significant for modern applications such as renewable energy systems, smart grid, and power electronics applications that rely on robust synchronization for efficient operation. The performance of the suggested KHN filter-based PLL algorithm has been verified using both simulation and practical tests. The outcome shows that it outperforms existing PLL techniques based on the SOGI filter especially in case of weak grid and harmonic distortion. The new solution ensures enhanced filter characteristics, more precise phases, and optimal transient process, making it an effective approach to dealing with the issues of grid synchronization in the current environment.

2026-05-01T00:00:00Z PANCHAL, ATUL Singh, Madhusudan (SUPERVISOR) Khan, Sikandar Ali (CO-SUPERVISOR) http://dspace.dtu.ac.in:8080/jspui/handle/repository/23015 2026-07-06T09:17:11Z 2026-05-01T00:00:00Z

Title: MATHEMATICAL MODELLING, DESIGN AND STABILITY ANALYSIS OF SI SIDO BOOST CONVERTER FOR PHOTOVOLTAIC APPLICATIONS Authors: PANCHAL, ATUL; Singh, Madhusudan (SUPERVISOR); Khan, Sikandar Ali (CO-SUPERVISOR) Abstract: This project describes the design of a model and controller to operate a SIDO (single inductor, dual output) DC-DC boost converter powered by solar PV. The SIDO converter uses a single inductor to produce output from one input source, which minimizes the number of components used compared to using two converters. Solar PV installations experience limitations, such as variable solar irradiance (sunlight intensity) and conditions of partial shading/temperature, resulting in irreconcilable variations of MPP for a given period of time. Therefore, in order to continuously extract the maximum power available from a solar PV array at any time, the proposed project uses an MPPT algorithm. The mathematical model of the SIDO converter utilizes linearization through state space averaging techniques and small signal approximation techniques to determine the best combination of input/output using an Interaction Measure (RGA). This enables the implementation of a decentralized PI control scheme for both outputs using internal control of the two outputs, while minimizing the amount of cross-regulation that occurs . Under normal operating conditions and also when using partial shading. The output voltage was shown to be consistent, with an output voltage of approximately 410V and 450 for the two models, at a light level of 1000 W/m². Round Model 1 produced about 600 W more than Round Model 2 when comparing the power produced, while at the same time increasing the overall efficiency of the power produced. The results of this project show the effectiveness of controlling the SIDO topology of the Decentralized PI Control using the RGA as the most appropriate method for interfacing renewable energy sources.

2026-05-01T00:00:00Z PATI, SARASWAT AKSHAYA JAINT, BHAVNESH (supervisor) http://dspace.dtu.ac.in:8080/jspui/handle/repository/23012 2026-07-06T09:16:46Z 2026-05-01T00:00:00Z

Title: REINFORCEMENT LEARNING ASSISTED SLIDING MODE CONTROLLER FOR A ROTARY INVERTED PENDULUM Authors: PATI, SARASWAT AKSHAYA; JAINT, BHAVNESH (supervisor) Abstract: A Rotary inverted Pendulum (RIP) is an underactuated system and it serves as a standard for non-linear control systems. Due to the system's extreme sensitivity to outside disturbances, uncertainties, and coupling issues between rotation arm and pendulum movement, controlling the inverted pendulum in vertical position poses difficult challenges. It has been found that SMC is an aggressive control approach, but it has certain drawbacks including chattering effect and parameter selection challenges. Reinforcement Learning, which makes use of an interaction between the agent and its environment to train and make decisions, has a lot of potential for non-linear control issues that do not require mathematical modelling. The RIP system is suggested to use a combination of Reinforcement Learning and Sliding Mode Control in this study. Reinforcement Learning is used to modify the parameters of SMC to obtain better stability and robustness. Simulations via MATLAB/Simulink are used to analyse the performance of the recommended controller.

2026-05-01T00:00:00Z