Capture Device Motion Control with Algorithm Switching Timing
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Solution Overview
Problem
Existing systems for controlling the movement of capture devices used in object tracking lack accuracy and efficiency, particularly in switching between control algorithms based on tracking parameters.
Innovation Solution
A system that includes a processor configured to obtain tracking parameters and control algorithms, determine a switching time point, and accelerate the capture device's speed using a combination of exponential and S-shaped algorithms to achieve precise movement control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single control algorithm is used for capture device movement, then the system is simple to implement, but the tracking accuracy and efficiency are insufficient
Solution Approach 1:
The control algorithm is segmented into multiple distinct algorithms (first control algorithm and second control algorithm), each optimized for specific tracking scenarios. The system divides the control task by selecting appropriate algorithms based on tracking parameters, thereby improving tracking accuracy without requiring a single overly complex algorithm to handle all cases
Solution Approach 2:
The system dynamically switches between different control algorithms based on real-time tracking parameters and determined switching time points. This dynamic adaptation allows the system to optimize tracking accuracy for varying conditions while maintaining manageable complexity through modular algorithm design
2Productivity
If control algorithms are switched frequently to adapt to tracking parameters, then the tracking efficiency improves, but the system stability deteriorates due to vibrations and step-out states
Solution Approach 1:
The system determines switching time points in advance based on tracking parameters before actual algorithm switching occurs. This preliminary determination allows for smooth transitions between control algorithms, preventing abrupt changes that would cause vibrations and step-out states while maintaining tracking efficiency
Solution Approach 2:
The system prepares for potential instability by carefully managing the transition between control algorithms through predetermined switching time points. This approach cushions against the harmful effects of frequent switching by ensuring transitions occur at optimal moments, thereby maintaining system stability while achieving efficient tracking
3Loss of time
If the capture device accelerates quickly to reach target speed, then the tracking response time improves, but the movement precision decreases due to vibrations
Solution Approach 1:
The control algorithm applies periodic acceleration and deceleration phases with different rates, creating a structured motion pattern that reduces vibrations. By alternating between acceleration phases (for quick response) and controlled deceleration phases (for precision), the system achieves both fast tracking response and high movement precision
Solution Approach 2:
The system changes acceleration and deceleration parameters dynamically based on tracking requirements and determined time points. By adjusting these parameters to optimize both speed and precision, the system reduces vibrations during movement while maintaining fast response time for tracking
Data Source
AI summary
The present disclosure may provide a method for movement control. The method may include obtaining at least one tracking parameter associated with a moving object and a control algorithm including a first control algorithm and a second control algorithm associated with a capture device used to track the moving object. The method may also include determining a switching time point with respect to the first control algorithm and the second control algorithm. Further, the method may include accelerating, according to the first control algorithm, a speed of the capture device within a first acceleration time period from a start time point to the switching time point and accelerating, according to the second control algorithm from the switching time point to an acceleration termination time point.