Gimbal Motion Control for User-Intended Tracking and Shake Rejection
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Solution Overview
Problem
Existing gimbal control systems cannot accurately distinguish between user-intended and unintended camera motions, leading to potential elimination of desired shooting angles and ineffective shake reduction.
Innovation Solution
A method and system that detect the motion state of a gimbal or its load, determining whether the motion is user-intended by evaluating rotation angles, angular velocities, or control signals, and adjust the gimbal's movement accordingly to maintain the load's original posture or follow the intended motion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the gimbal automatically corrects all detected camera motions, then shake reduction is improved, but user-intended motions are mistakenly eliminated
Solution Approach 1:
The system continuously monitors motion detection signals and compares them against determined motion types to dynamically adjust correction actions. The controller receives feedback about whether detected motions are shake or user-intended, and uses this feedback to determine appropriate correction amounts, improving both shake reduction accuracy and user motion recognition over time
Solution Approach 2:
The system changes the correction parameter (correction amount) based on the determined motion type. When motion is identified as shake, full correction is applied; when user-intended motion is detected, correction is reduced or eliminated. This dynamic parameter adjustment resolves the contradiction by adapting the correction strength to the specific motion context
2Ease of operation
If the gimbal does not correct detected motions, then user-intended motions are preserved, but shake elimination becomes ineffective
Solution Approach 1:
The continuous feedback loop between motion detection, motion type determination, and correction amount calculation ensures that user-intended motions are preserved while shake is effectively eliminated. The system adapts its correction behavior based on real-time analysis of motion characteristics
Solution Approach 2:
The correction amount parameter is dynamically changed based on motion type: zero or minimal correction for user-intended motions, and substantial correction for shake. This selective parameter adjustment maintains user control while ensuring effective shake elimination
3Measurement precision
If the system uses complex motion analysis to distinguish user-intended motions, then motion recognition accuracy is improved, but device complexity increases
Solution Approach 1:
The controller acts as an intermediary that receives simple motion detection signals from the sensor and transforms them into intelligent correction decisions. Rather than requiring complex sensors, the intermediary processing unit analyzes motion patterns and determines motion types, achieving high recognition accuracy with moderate system complexity
Data Source
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AI summary
The present invention discloses a method for controlling a gimbal used to carry a load. The method comprises: detecting a motion state of the gimbal or the load; determining whether a motion of the gimbal or the load is a user-intended motion according to the motion state; controlling the gimbal to move the load in an opposite direction to a moving direction of the motion if the motion is not a user-intended motion, thereby maintaining the load in an original posture; and controlling the load by the gimbal to move along a moving direction of the user-intended motion if the motion is a user-intended motion. The present invention also discloses a system for controlling a gimbal corresponding to the method for controlling a gimbal.