PLANT MODELING - Design cube satellite model

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Reference no: EM132400482

Assignment - Matlab based Project

All work should be in SIMULINK environment

PLANT MODELING -

1- First design cube satellite model (with dynamics and kinematic equation).

2- Modeling of actuators (magnetic torque and reaction wheel)

3- Modeling of 4 external disturbances torques (atmospheric drag, solar rad pressure, residual magnetic dipole moment, gravitational filed)

4- Modeling of actuator uncertainties

CONTROLLER MODELING -

1- first design PID controller in Simulink to control above plant model

2- Then design a fuzzy logic controller to tune the PID gains (Kp, ki, kd) called FPID gains

3- Then design Neural Network for the estimation of external disturbances and actuator uncertainties

4- Now developed Neural Network block will tune the FPID gains. Now its called adaptive FPID control for cube satellite.

Important thing is you have to get or develope cube satellite attitude (roll, pitch, yaw) data set for Neural Network.

Note - Attached proposed control block diagram, from where you will easily understand the whole project and those two papers important for this project, they can get the whole idea from those papers.

Reference Papers -

1. Adaptive Attitude Controller for a Satellite Based on Neural Network in the Presence of Unknown External Disturbances and Actuator Faults by Ali Reza Fazlyab, Farhad Fani Saberi and Mansour Kabganian.

2. Adaptive Fuzzy PID Control Strategy for Spacecraft Attitude Control by Naeimeh Najafizadeh Sari, Hadi Jahanshahi and Mahdi Fakoor.

Attachment:- Assignment Files.rar

Reference no: EM132400482

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Reviews

len2400482

11/14/2019 2:06:39 AM

I can share with you 2 major ref papers, which I mentioned in the above text make a final complete report. These 2 papers are major papers. Please add one line in 4th point of "CONTROLLER MODELING" heading the line is "Now developed Neural Network block will tune the FPID gains. Now its called adaptive FPID control for cube satellite and Neural network will tune the FPID gains according to estimated disturbances and uncertainties".

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