Oscillating System Startup Control Using Learned Phase Timing
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Solution Overview
Problem
Existing oscillating systems, such as those used in LIDAR applications, face challenges in quickly reaching a stable state during startup due to unknown phase information between excitation and response signals, necessitating slow movement along stable curves rather than intercepting unstable curves for faster stabilization, and this is typically done without additional sensors.
Innovation Solution
A system comprising a power driver, an oscillating system, and a controller that operates in closed loop mode to synchronize electric excitation with feedback measurement signals, using a learning mode to determine timing information for phase and frequency synchronization, allowing the system to intercept unstable curves and quickly reach the desired stable state without additional sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the system operates in open loop mode without timing information, then the startup is simple to implement, but the stabilization speed is slow because the system must move along stable curves state-by-state
Solution Approach 1:
The system performs preliminary action by operating in a learning mode before closed loop mode to acquire timing information. During this preliminary phase, the system generates continuous excitation and detects feedback measurement signals to determine timing information, which is then stored for use in subsequent closed loop operation. This preliminary acquisition of timing information enables the system to later intercept unstable curves and achieve rapid stabilization.
2Speed
If additional sensors are used to obtain timing information, then the stabilization speed can be improved by intercepting unstable curves, but the device complexity increases
Solution Approach 1:
The system applies self-service by using its own feedback measurement signals (such as current or voltage signals already present in the system) to extract timing information. The controller detects zero-crossing events or other timing characteristics from these existing signals without requiring external mechanical sensors, acceleration sensors, or other additional measurement devices. This self-service approach provides timing information for intercepting unstable curves while avoiding increased device complexity.
3Use of energy by moving object
If the system uses discontinuous excitation in closed loop mode, then energy efficiency is improved, but the system requires timing information that is unavailable at startup
Solution Approach 1:
The system performs preliminary action by operating in a learning mode before closed loop mode to acquire timing information. During this preliminary phase, the system generates continuous excitation and detects feedback measurement signals to determine timing information, which is then stored for use in subsequent closed loop operation. This preliminary acquisition of timing information enables the system to later intercept unstable curves and achieve rapid stabilization.
4Reliability
If the system moves slowly along stable curves, then reliability is maintained by staying in stable states, but the startup time is extended
Solution Approach 1:
The system performs preliminary action by operating in a learning mode before closed loop mode to acquire timing information. During this preliminary phase, the system generates continuous excitation and detects feedback measurement signals to determine timing information, which is then stored for use in subsequent closed loop operation. This preliminary acquisition of timing information enables the system to later intercept unstable curves and achieve rapid stabilization.
Solution Approach 2:
The system uses feedback by detecting feedback measurement signals (such as current or voltage signals) and using their timing characteristics (zero-crossing events, phase information) to control the excitation. This feedback mechanism enables the system to determine timing information and synchronize the excitation with the oscillating system's natural response, allowing interception of unstable curves that lead to the desired stable state.
Data Source
AI summary
A system includes a power driver, configured to generate an electric excitation; an oscillating system, configured to perform an oscillation induced by the electric excitation; a feedback detector, configured to detect a feedback measurement signal with to the oscillation; and a controller configured to operate: in a closed loop mode, to control the power driver to generate the electric excitation as a discontinuous electric excitation according to timing information obtained from the detected feedback measurement signal, to synchronize the discontinuous electric excitation with the detected feedback measurement signal; in a learning mode preceding the closed loop mode, to control the power driver to generate the electric excitation as a continuous electric excitation, to obtain timing information from the feedback measurement signal to be used, at least once, in the subsequent closed loop mode, to synchronize the discontinuous electric excitation with the detected feedback measurement signal.