Multi-Simulator Robot Control for High-Speed System Coordination
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Solution Overview
Problem
Existing control systems face excessive computational load and inefficiencies in simulating the operations of multiple machines and their environments, particularly when high-speed computation and synchronization are required, leading to increased burden on workers and reduced autonomy of robots.
Innovation Solution
A control system incorporating both a system simulator and local simulators, where the system simulator handles comprehensive simulations and the local simulators focus on specific machines, allowing selective use based on computational needs, thereby reducing overall load and enhancing autonomy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a system simulator is used to simulate operations of multiple machines, then comprehensive simulation coverage is improved, but computational load increases
Solution Approach 1:
The patent divides the simulation system into a system simulator that handles overall system-level simulations and local simulators that handle machine-specific simulations. This segmentation allows the computational load to be distributed and managed more efficiently, with each simulator focusing on its specific scope rather than one simulator handling all computations.
Solution Approach 2:
The patent implements selective simulation where local simulators are activated only when needed for specific machines, rather than continuously running all simulators at full capacity. This partial action approach reduces overall computational load while maintaining necessary simulation coverage.
2Productivity
If local simulators are used for specific machines, then computational efficiency is improved, but simulation coverage decreases
Solution Approach 1:
The patent combines local simulators and system simulator into a unified control system where both types of simulators work together. The local simulators provide detailed machine-specific simulations while the system simulator provides overall system context, and their results are integrated to achieve both computational efficiency and comprehensive simulation coverage.
3Reliability
If comprehensive simulation is performed for all machines, then system coordination is improved, but worker burden increases
Solution Approach 1:
The patent implements autonomous simulation management where the control system automatically determines when and how to activate local simulators based on system needs, rather than requiring workers to manually manage simulation configurations. This self-service approach reduces worker burden while maintaining comprehensive simulation capabilities.
4Measurement precision
If simulation precision is increased for robot control, then control accuracy is improved, but processing time increases
Solution Approach 1:
The patent applies different simulation precision levels to different parts of the system based on their specific requirements. Local simulators provide high-precision simulations for individual robots where detailed control is needed, while the system simulator provides lower-precision overall system simulations, optimizing the balance between control accuracy and processing time.
Data Source
AI summary
A control system includes: a plurality of local controllers configured to respectively control a plurality of machines including a robot; a local simulator configured to simulate, based on a local model including a model of the robot and a model of a surrounding environment of the robot, an operation that a local controller corresponding to the robot causes the robot to perform; and a system simulator configured to simulate, based on a system model including models of the plurality of machines and a model of a surrounding environment of the plurality of machines, an operation that the plurality of local controllers cause the machines to perform.