Photoelectric Pod Stability Control Under Wind Disturbance
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Solution Overview
Problem
Tethered balloon systems face challenges in stability control due to wind disturbances, leading to poor state stability and unstable imaging of photoelectric pods, as existing control methods struggle to effectively manage rapid wind changes and maintain tracking targets.
Innovation Solution
A stability control method based on particle active disturbance rejection is introduced, which establishes an active disturbance rejection controller model using a dynamic model and speed loop control model of the tethered balloon system, optimized through a particle swarm optimization algorithm to isolate internal and external disturbances and improve imaging stability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional control methods (PID, ADRC) are used for photoelectric pod stability control, then the system can maintain basic tracking capability, but the imaging stability is poor and the system cannot effectively resist wind disturbances
Solution Approach 1:
The patent transforms the control parameters from traditional fixed-gain PID or ADRC parameters to time-varying parameters that adapt to wind disturbance conditions. The improved ADRC dynamically adjusts the disturbance observer bandwidth and controller gains based on real-time wind conditions, enabling the system to maintain reliable tracking while achieving stable imaging under varying wind environments.
Solution Approach 2:
The patent introduces an improved disturbance observer as an intermediary component between the plant and controller. This observer acts as a mediator that estimates and compensates for wind disturbances before they affect the imaging system, thereby decoupling the tracking function from the imaging stability requirement.
2Speed
If the motor rotates frequently to track wind direction changes, then the tracking responsiveness is improved, but the friction moment and wind resistance moment change greatly, making it difficult to ensure both rapidity and stability
Solution Approach 1:
The patent applies preliminary action by using the disturbance observer to predict and compensate for wind disturbances before they cause significant platform rotation. By anticipating the disturbance effects and pre-adjusting the control output, the system can maintain tracking accuracy without requiring frequent motor rotations, thus reducing friction and wind resistance variations.
Solution Approach 2:
The patent implements enhanced feedback through the disturbance observer that continuously monitors platform attitude and wind conditions. This feedback mechanism provides real-time compensation signals that reduce the need for aggressive motor corrections, allowing the system to achieve both rapid response and stable tracking by smoothing out the control commands.
3Duration of action of moving object
If the tethered balloon platform is used for photoelectric pod system, then long-term air stay capability is achieved, but the platform is easily affected by wind direction and wind force changes, causing random swinging in three directions
Solution Approach 1:
The patent introduces the improved active disturbance rejection controller as an intermediary between the unstable tethered balloon platform and the photoelectric pod system. This controller acts as a buffer that actively compensates for platform attitude variations, isolating the photoelectric pod from the random swinging caused by wind while maintaining the platform's long-term air stay capability.
Solution Approach 2:
The patent dynamically adjusts the control parameters of the improved ADRC based on the platform's operating conditions and wind environment. By adapting the disturbance observer bandwidth and controller gains in real-time, the system maintains effective disturbance rejection throughout the long-duration mission, ensuring stable imaging despite the platform's inherent instability.
Data Source
AI summary
A stability control method and device based on particle active disturbance rejection are provided. The method includes: establishing an active disturbance rejection controller model based on a dynamic model and a speed loop control model of a tethered balloon system, where the speed loop control model is established through theoretical modeling of executive components of a control system of the tethered balloon system; and optimizing to-be-optimized parameters of the active disturbance rejection controller model using a particle swarm optimization algorithm, determining an optimal active disturbance rejection controller model, and using the optimal active disturbance rejection controller model to implement stability control of a photoelectric pod. An active disturbance rejection controller is optimized by using a particle swarm optimization algorithm, which can effectively isolate the internal and external disturbances of the photoelectric pod and improve the imaging stability of the photoelectric pod.