Adaptive Control for a Two-Axis Semi-Strapdown Stabilized Platform Based on Disturbance Transformation and LWOA-PID

Area of Science:

• Aerospace Engineering
• Control Systems
• Robotics

Background:

• Traditional two-axis semi-strapdown stabilization platforms struggle with roll channel disturbance control in aircraft.
• Roll disturbances negatively impact the line-of-sight (LOS) pointing accuracy of stabilized platforms.

Purpose of the Study:

• To develop an adaptive control method for eliminating roll disturbances in two-axis semi-strapdown stabilized platforms.
• To enhance the line-of-sight pointing accuracy and stability of aircraft sensor orientation.

Main Methods:

• Implemented a disturbance transformation technique to integrate roll disturbances into pitch and yaw channels.
• Designed a whale optimization adaptive proportional-integral-derivative (LWOA-PID) controller using Latin hypercube sampling.
• Simulated and compared the proposed method against a classical PID controller in Matlab/Simulink.

Main Results:

• The disturbance transformation module effectively eliminated roll axis disturbance impacts on LOS pointing accuracy.
• The LWOA-PID controller reduced tracking errors for step and sinusoidal signals by 50% and 75%, respectively, compared to classical PID.
• Optimization time was reduced by 37.5% compared to standard whale optimization algorithm PID (WOA-PID).

Conclusions:

• The proposed adaptive control method significantly improves the performance of two-axis semi-strapdown stabilized platforms.
• Combining disturbance transformation with the LWOA-PID controller further enhances tracking accuracy by an order of magnitude.
• This approach offers a robust solution for maintaining stable sensor orientation in dynamic aircraft environments.