Question: Design and Build a DC Motor Control System Using Simulink Blocks - Exam Question: A DC motor drives a factory conveyor belt system, and its

Design and Build a DC Motor Control System Using Simulink Blocks - Exam Question: A DC motor drives a factory conveyor belt system, and its speed needs to be controlled to ensure consistent product delivery. The motor is part of a feedback control system where the speed is controlled using a PID controller. However, the system currently only uses proportional control and experiences slow response and steady-state error when load conditions change. You are tasked with analyzing the current system, improving its performance, and building the circuit to control the conveyor belts speed using appropriate Simulink blocks. Tasks: 1. System Analysis : - You are provided with the following parameters for the DC motor system: - Motor Inertia J =0.02 kgm^2- Motor Resistance R =1- Motor Inductance L =0.5 H - Back EMF constant K_b =0.01 Vs/rad - Damping coefficient B =0.05 Nms - Desired speed _desired =100 rad/s - Predict how the current proportional-only control system will behave when there is a change in load. - Discuss the role of inertia and damping in the motors performance and how they impact the systems response time and stability. 2. Build the Control Circuit: You are now tasked with building a control circuit to improve the conveyor belt systems performance. The system should regulate the speed of the DC motor using a PID controller with feedback from the motors velocity sensor.- Build the DC motor control system using appropriate Simulink blocks to: - Use a PID controller to control the motors speed. - Provide an error signal based on the difference between the desired and actual speed of the conveyor. - Visualize the systems performance using appropriate blocks to monitor the motors speed over time. 3. Tuning the Controller: After building the control system, tune the PID controller to improve system performance. Specifically: a. Explain how increasing the proportional gain K_p affects the systems response. b. What role does the integral gain K_i play in reducing steady-state error? c. How would increasing the derivative gain K_d affect the systems stability and overshoot? 4. System Behavior Prediction: Once youve tuned the PID controller, predict how the system will behave if the load on the conveyor suddenly increases: - How will the control system react to maintain the desired speed? - Will the system return to the desired speed, and how long will it recover? Governing Equations: 1. DC Motor Electrical Equation: V = L di/dt + R i + K_b Where V = input voltage (V), L = motor inductance (H), R = motor resistance (), i = motor current (A), Kb = back EMF constant (Vs/rad), = angular velocity (rad/s).2. Torque Equation for Motor: T_m = J d/dt + B + T_l Where Tm = motor torque (Nm), J = rotational inertia (kgm^2), B = damping coefficient (Nms), Tl = load torque (Nm).3. Rotational Dynamics: = dt Where, = angular position (rad), = angular velocity (rad/s).4. Control System Equation: V_control = K_p e(t)+ K_i e(t) dt + K_d de(t)/dt Where: e(t)= error signal (difference between desired and actual position), K_p, K_i, K_d = PID controller gains.

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