Distributed Actuator Control With Adaptive Latency Compensation
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Solution Overview
Problem
Distributed control systems face challenges due to uncertain timing effects, such as stochastic latencies and non-deterministic delays, which affect the accuracy and freshness of control commands in sensor-control-actuator chains, particularly in V2V-communication and distributed electrical-electronic architectures, leading to unpredictable system performance and instability.
Innovation Solution
A method involving the actuator generating multiple control inputs for different assumed sensor-to-actuator latencies, determining the actual latency by comparing time information, and selecting the control input closest to the actual latency, utilizing computational resources for latency compensation and adaptive control strategies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple control inputs are generated and stored for different assumed latencies, then control accuracy under varying latency conditions is improved, but memory usage and computational overhead at the actuator increase
Solution Approach 1:
The control input set is segmented into multiple subsets, each optimized for a specific latency range. Instead of storing one large set of control inputs for all possible latency conditions, the system divides the control space into manageable segments corresponding to different latency assumptions, reducing overall memory requirements while maintaining accuracy across varying conditions
Solution Approach 2:
The actuator dynamically selects which control input subset to use based on the actual measured latency. This dynamic adaptation allows the system to load only the necessary control inputs for current latency conditions, reducing memory usage while maintaining control accuracy through real-time latency-based selection
2Measurement precision
If multiple control inputs are generated and stored for different assumed latencies, then control accuracy under varying latency conditions is improved, but processing time and computational complexity increase
Solution Approach 1:
Control inputs for different latency scenarios are pre-computed and stored before runtime. This preliminary action eliminates the need for complex real-time optimization calculations, allowing the actuator to simply select from pre-prepared control inputs based on measured latency, thus reducing processing time while maintaining accuracy
Solution Approach 2:
The latency measurement value serves as an intermediary that maps the actual latency condition to the appropriate pre-computed control input subset. This intermediary mechanism enables efficient selection without requiring complex real-time computation, bridging the gap between variable latency conditions and optimal control inputs
3Reliability
If the control system adapts to changing latency conditions by selecting from multiple control inputs, then system reliability under uncertain timing effects is improved, but device complexity increases
Solution Approach 1:
The system implements feedback by measuring the actual latency between sensor and actuator, then using this measured value to select the appropriate control input subset. This feedback mechanism enables the actuator to adapt to changing latency conditions reliably, compensating for timing uncertainties while maintaining a relatively simple device architecture through rule-based selection
Data Source
AI summary
A method for controlling a distributed system with at least one sensor, a control unit, and an actuator. The method includes: providing, at the actuator, multiple control inputs generated for different assumed sensor to actuator latencies; determining, by a computing unit of the actuator, an actual latency, by comparing time information of the receipt of sensor data at the actuator and time information of the sensor data; and selecting, by the computing unit of the actuator, the control input from the multiple control inputs which respective assumed latency corresponds to the actual latency or is closest to it.