Distributed Control Nodes for Robot Servo Workload Balancing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current industrial robot controllers are highly integrated, leading to high repair costs and inefficiencies due to their centralized control architecture, which results in a heavy workload and potential control inefficiencies.
Innovation Solution
A distributed multi-node control system comprising a first and second control node, each with a kernel architecture, communicatively coupled to servo nodes and execution devices, allowing for distributed control and real-time computation, with a scheduling control node to adjust resource allocation and detect abnormal states, enabling efficient workload distribution and maintenance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a centralized controller is used with high integration, then the control system achieves compact structure and unified management, but the repair cost increases and system reliability decreases when a fault occurs
Solution Approach 1:
The patent divides the centralized controller into multiple independent control nodes (first control node and second control node), each capable of autonomous operation. This segmentation allows individual nodes to be replaced or repaired without affecting the entire system, thereby reducing repair costs and improving maintenance efficiency while maintaining the compact structure benefit of integration.
2Device complexity
If a centralized controller is used with high integration, then the control system achieves unified management, but the workload on the controller increases and control efficiency may be compromised
Solution Approach 1:
The control system is segmented into multiple control nodes that can independently process control tasks. Each control node handles a portion of the overall workload, distributing the computational burden and preventing any single node from becoming a bottleneck, thus maintaining high control efficiency while achieving unified system management.
Solution Approach 2:
Multiple control nodes are merged into a coordinated network where each node contributes to the overall control function. The first control node and second control node work in parallel, combining their processing capabilities to handle the total workload more efficiently than a single centralized controller could manage alone.
3Productivity
If a distributed multi-node control system is implemented, then the workload is distributed and control efficiency improves, but the system complexity increases
Solution Approach 1:
Each control node in the distributed system is designed with universal functionality, capable of performing the same control tasks independently. This multi-functionality allows nodes to be replicated and scaled without increasing individual node complexity, as each node follows the same standardized architecture and can assume any role in the network.
Data Source
AI summary
A distributed multi-node control system (100) and method, relating to the field of control technology. The distributed multi-node control system (100) comprises: a first control node (11), a second control node (12), a plurality of servo nodes (20) and a plurality of execution devices (30), the first control node (11) and the second control node (12) being respectively communicationally connected to the plurality of servo nodes (20), the servo nodes (20) being electrically connected to the execution devices (30) and configured to control operating states of the corresponding execution devices (30), the first control node (11) being configured to control an operating state of at least one first servo node (21) among the plurality of servo nodes (20), the second control node (12) being configured to control an operating state of at least one second servo node (22) among the plurality of servo nodes (20).