Control Systems MATLAB Projects: Advanced Project Design

Design cascaded PID and lead-lag control loops for pitch, roll, yaw, and altitude stabilization of a quadrotor drone operating in indoor/smart-building environments.

• Problem & Objective: Stabilize 6-DOF non-linear quadrotor dynamics and achieve precise waypoint trajectory tracking under wind gust disturbances.
• Key MATLAB Functions: pidtune, ss, lsim, plot3
• Expected Output/Metrics: Waypoint tracking error < 0.15m, altitude settling time < 1.2s, and zero steady-state position error.

Design dynamic modeling and simulation tools for wingtip antenna movement patterns and RF signal propagation in an anechoic chamber for Electronic Warfare testing.

• Problem & Objective: Simulate aerodynamic wingtip vibration impacts on antenna radiation patterns and beam steering accuracy.
• Key MATLAB Functions: pattern, phased.ArrayResponse, fft, ode45
• Expected Output/Metrics: Dynamic gain degradation profiles, beam tracking error < 0.5 degrees, and 3D radiation pattern distortion plots.

Develop a software engine (Timcat) extracting audio feature vectors and using clustering to synthesize novel musical timbres from recorded sound databases.

• Problem & Objective: Extract MFCCs, spectral centroid, and zero-crossing rates for concatenative sound patch matching and synthesis.
• Key MATLAB Functions: mfcc, kmeans, audioread, soundsc
• Expected Output/Metrics: Audio database feature space scatter plots, spectral match similarity score (>90%), and real-time audio playback.

Design a bidirectional Three-Level PWM AC/DC power converter enabling Vehicle-to-Grid (V2G) and Grid-to-Vehicle (G2V) energy transfers with reduced THD.

• Problem & Objective: Control active/reactive power flow and maintain unity power factor during bidirectional battery charging cycles.
• Key MATLAB Functions: power_analyze, thd, park, clarke
• Expected Output/Metrics: Grid current THD < 3%, power factor > 0.99, and seamless power flow reversal within 10 ms.

Develop real-time vector control / Field-Oriented Control (FOC) for 3-phase induction motor speed regulation targeting dsPIC microcontrollers.

• Problem & Objective: Decouple flux and torque control components in 3-phase AC induction motors for high-dynamic-response industrial drives.
• Key MATLAB Functions: clarke, park, spaceVectorPWM, slbuild
• Expected Output/Metrics: Speed regulation accuracy ±1 RPM, full torque response time < 15 ms, and C code generation without build warnings.

Design Takagi-Sugeno fuzzy state-convergence bilateral controllers for master-slave robotic teleoperation systems subject to communication delays.

• Problem & Objective: Ensure force feedback transparency and position synchronization between master manipulator and remote slave robot under time delay.
• Key MATLAB Functions: sugfis, fismat, lmi, sim
• Expected Output/Metrics: Master-slave tracking error < 1mm, force reflection fidelity > 95%, and absolute delay stability up to 200 ms.

Design MPC algorithms for Battery Energy Storage Systems (BESS) in microgrids to optimize power dispatch and hybrid current control under intermittent renewables.

• Problem & Objective: Formulate constrained multivariable predictive control to stabilize microgrid frequency and voltage while maximizing battery degradation life.
• Key MATLAB Functions: mpc, mpcmove, setterminal, sim
• Expected Output/Metrics: Microgrid voltage stability within ±2%, operating cost reduction (>18%), and execution time per MPC step < 5 ms.

Design and simulate Skyhook and LQR controllers for semi-active suspension dampers in a quarter-car model subjected to road bump disturbances.

• Problem & Objective: Minimize sprung mass vertical acceleration and tire displacement to improve ride comfort and vehicle road handling.
• Key MATLAB Functions: lqr, ss, step, bode, plot
• Expected Output/Metrics: Sprung mass acceleration reduction (>35%), peak suspension travel reduction (>25%), and settling time < 0.8 seconds.

Develop an embedded real-time simulator (RTSDS) for Hardware-in-the-Loop (HIL) testing and validation of industrial control algorithms under strict timing constraints.

• Problem & Objective: Execute real-time dynamic system simulations with sub-millisecond step times for testing hardware control units without physical prototypes.
• Key MATLAB Functions: slrealtime, tg.start, tg.stop, slbuild
• Expected Output/Metrics: Real-time task execution time < 100 µs, zero overrun occurrences, and I/O latency < 10 µs.

Develop hydrodynamic and hydraulic power take-off (PTO) models for array-connected wave energy converter buoys in time-domain sea states.

• Problem & Objective: Optimize hydraulic pressure regulation and electrical power output from multiple wave buoys coupled to a central PTO manifold.
• Key MATLAB Functions: simscape.library, pwelch, trapz, sim
• Expected Output/Metrics: Average power captured per buoy (kW), power flow smoothing factor (>75%), and hydraulic pressure ripple < 5%.