Control System Projects For Electrical Engineers

Electrical engineers that work on control system projects create, put into practice, and refine systems that regulate the behavior of various devices or processes. These initiatives are essential in a variety of sectors, including manufacturing, robotics, automation, aerospace, and energy. They frequently center on controlling factors to get desired results, increase productivity, and ensure safety.

Project No: 01 – Appliances Modeling and Simulation: A Virtual Platform Applied for Microgrids

Project No: 02 – Model Predictive Control for Frequency Control of Single Area Network of Power System {Concept-Based}

Project No: 03 – Design and Cascade PI Controller-Based Robust Model Reference Adaptive Control of DC-DC Boost Converter

Project No: 04 – DC Bus Voltage Control of Wind Power Inverter Based on First-Order LADRC

Project No: 05 – Application of PID Controller in Controlling Refrigerator Temperature

Project No: 06 – Power and Current Limiting Strategy Based on Droop Controller with Floating Characteristic for Grid-Connected Distributed Generation

Project No: 07 – Dynamic Stability Enhancement of Power System Using Fuzzy Logic-Based Power System Stabilizer

Project No: 08 – Enhanced Control and Power Management for a Renewable Energy-Based Water Pumping System

Project No: 09 – Use of the Genetic Algorithm-Based Fuzzy Logic Controller for Load Frequency Control in a Two-Area Interconnected Power System

Project No: 10 – Cascaded Droop and Inverse Droop Regulation for Two-Layer Coordinated Power Flow Control in Series-Connected Power Cells

Project No: 11 – Adaptive and Fuzzy PI Controllers Design for Frequency Regulation of Isolated Microgrid Integrated with Electric Vehicles

Project No: 12 – Sliding Mode Control for Grid Integration of Wind Power System Based on Direct Drive PMSG

Project No: 13 – Arc Fault Testing

Project No: 14 – Modelling and Controller Design for Temperature Control of Power Plant Heat Exchanger

Project No: 15 – A New Hybrid Method Based on Fuzzy Logic for Maximum Power Point Tracking of Photovoltaic Systems

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