"Recurrent Neural Network based Fuzzy Sliding Mode Control of an Underwater Vehicle with 4-DOF"
Budget: $30 – $250 USD
Project Requirements Summary:
Develop a dynamic model of a 4 Degrees of Freedom (4-DOF) Underwater Remotely Operated Vehicle (ROV).
Implement three control strategies for the ROV:
Sliding Mode Control (SMC)
Fuzzy Logic based Sliding Mode Control (Fuzzy SMC)
Recurrent Neural Network (RNN) based Fuzzy Sliding Mode Control
Perform comprehensive MATLAB simulations for each control method, preferably including both script-based and Simulink implementations.
Analyze and compare the performance of the three controllers in terms of:
Tracking accuracy
Robustness to disturbances and uncertainties
Response speed
Control effort and chattering reduction
Provide well-commented, clean MATLAB/Simulink code for each step.
Generate detailed plots and result comparisons to illustrate system behavior and control effectiveness.
Prepare documentation or presentation materials summarizing the methodology, simulation results, and conclusions.
Develop a dynamic model of a 4 Degrees of Freedom (4-DOF) Underwater Remotely Operated Vehicle (ROV).
Implement three control strategies for the ROV:
Sliding Mode Control (SMC)
Fuzzy Logic based Sliding Mode Control (Fuzzy SMC)
Recurrent Neural Network (RNN) based Fuzzy Sliding Mode Control
Perform comprehensive MATLAB simulations for each control method, preferably including both script-based and Simulink implementations.
Analyze and compare the performance of the three controllers in terms of:
Tracking accuracy
Robustness to disturbances and uncertainties
Response speed
Control effort and chattering reduction
Provide well-commented, clean MATLAB/Simulink code for each step.
Generate detailed plots and result comparisons to illustrate system behavior and control effectiveness.
Prepare documentation or presentation materials summarizing the methodology, simulation results, and conclusions.