This project is useful for understanding the working principle of a doorbell using a solenoid, which is based on the electrical properties of a coil of wire that generates a magnetic field when an electric current is passed through it. The project also demonstrates how to use various Simulink and Simscape blocks to model and control an electromechanical system. The working principle of a doorbell using a solenoid is based on the properties of a solenoid. When the doorbell button is pressed, an electric current flows through the solenoid coil, creating a magnetic field. The magnetic field attracts a metal rod (armature) located inside the solenoid, which moves and strikes a mechanical chime, producing a sound. Simulink can be used model a doorbell using a solenoid, with blocks like the Pulse Generator, Solenoid, Battery, and Switch. The Pulse Generator block generates a pulse signal to simulate a button press. The Solenoid block models the behavior of a solenoid in converting electrical energy into linear motion. Other blocks like the Electrical Reference, Thermal Reference, Voltage Sensor, and Switch can be used to create a complete electrical circuit.

The control logic of the washing machine follows a sequence based on power and water supply availability, with specific time durations for soaking, washing, rinsing, and drying. The machine uses mechanical action, water, detergent, and sometimes heat to clean clothes. The control logic of a washing machine using Stateflow follows a given sequence. The system gets activated if the power supply is available. If the water supply is not available, the process stops and indicates through the LED. The soaking time in the washing machine is 200s followed by a washing time of 100s. Rinsing happens for the next 20s and the dryer runs for 50s. After all the processes have been completed, the finished LED turns on. The washing machine uses mechanical action, water, detergent, and sometimes heat to remove dirt and stains from clothes. Make a Simulink chart for the “Gear shift” logic: Gear shift refers to the mechanism used in a motor vehicle to change gears. The gear shift can be found in both manual and automatic transmission vehicles. In a manual transmission vehicle, driver physically shifts gears, while in an automatic transmission vehicle, the gear shift operates as a selector for different driving modes. The gear shift mechanism in an automatic transmission vehicle is connected to the transmission control unit (TCU) and uses inputs such as engine speed and road speed to determine the appropriate gear ratio. The gear shift mechanism can be integrated into the center console, located on the steering column or dashboard, or even be a push-button mechanism. The model of "Gear Shifting" in Simulink requires several block sets including Chart Block, Slider Block, Constant Block, Display Block, and Lamp Block. When the speed is within certain ranges, specific gears turn green on the Simulink model. The gear shifting is done according to the transition conditions based on the speed range.

This Project discusses the simulation of a Baja All-Terrain (ATV) under different conditions, using Simulink models. The key features and aspects of ATVs are described, including their design, tires, suspension, safety measures, types, and maintenance requirements. Baja ATVs are outlined as specifically designed for off-road use in rugged terrain, with high-performance capabilities. Case 01 is about studying the Simulink model for Baja ATV with CVT using Continuously Variable Transmission, highlighting the benefits and drawbacks of using CVT in ATVs. Case 02 focuses on the Simulink model for Baja ATV with CVT using a dashboard, allowing observation of the effects of changing brake and throttle inputs on engine velocity and speed. Case 03 and Case 04 describe Simulink models for Baja ATV with CVT using lookup tables, with and without a dashboard, respectively. The output from each case includes graphs illustrating vehicle speed and CVT shaft RPM based on different inputs.

The aim is to design and simulate three DC-DC converter topologies in Simulink: a buck converter operating at 500W output in continuous conduction mode (CCM), a boost converter at 4000W in discontinuous conduction mode (DCM), and a SEPIC converter at 6000W in CCM. The buck converter design includes determining the duty cycle range, designing the inductor and capacitor, selecting MOSFET and driver, and implementing closed-loop control with a PI controller. The boost converter design specifies an input voltage range of 200-300V, output voltage of 400V, power of 4000W, and involves determining the duty cycle range, designing the inductor, and selecting other components. The key steps presented for the buck converter are followed for the boost and SEPIC converters as well, with the appropriate component values and specifications for each topology. Simulation results for the buck converter match the theoretical predictions and analysis of the different operating modes, component waveforms, and closed-loop response.

The aim is to design a boost converter to step up DC voltage from 200-300V input to 400V output with 4KW power. Components like inductor, capacitor, MOSFET, diode are selected based on design calculations considering parameters like voltage rating, current rating, losses etc. A closed loop controller is developed using PI controller and PWM generator to regulate the output voltage. Simulation is done in Simulink to verify the design meets specifications like output voltage, current, ripple levels etc under transient and steady state conditions. A detailed loss analysis is presented calculating losses in different components like MOSFET, diode, inductor, capacitor based on their specifications and operating conditions. The total efficiency of the boost converter is found to be around 97% for both 200V and 300V input voltages, slightly higher for lower input voltage due to lower switching and conduction losses. The designed boost converter successfully achieves the target output voltage of 400V with high efficiency, verifying the design calculations and component selection. Relevant industry standards and guidelines are followed to make the design practical for industrial applications.

The project aims to design and model a three-phase induction motor for electric vehicle applications using open loop V/f control and direct torque control (DTC) methods. The open loop V/f control method is implemented using a three-phase inverter, asynchronous machine block and SVPWM generator block in Simulink. The performance is analyzed for different speed references. The transfer function of the induction motor is derived from the motor equivalent circuit using d-q transformation and Laplace transform to relate the torque and speed. The DTC method is implemented using torque and flux hysteresis controllers to directly select the optimal inverter voltage vector for fast dynamic response. Simulation results for DTC show precise speed control under changing load torque compared to the open loop V/f control method.