Marine Vessel Stabilisation Using Dual AI and PID Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing marine vessel stabiliser systems face challenges in maintaining stability across varying operational conditions due to nonlinearities in control parameters, leading to unsafe and inefficient operation, especially in adverse weather, which can prevent access to offshore facilities.
Innovation Solution
Implementing a dual control system comprising a primary non-linear control system using artificial intelligence and a secondary linear control system, such as PID, to generate and validate control signals for stabiliser mechanics, ensuring safe and efficient vessel stabilisation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a primary non-linear control system using artificial intelligence is implemented to adaptively respond to varying operational conditions, then the vessel stabilisation performance and safety are improved, but the device complexity and computational requirements increase
Solution Approach 1:
The control system is segmented into two independent parts: a primary non-linear control system using artificial intelligence for adaptive stabilisation, and a secondary linear control system for validation and safety assurance. Each segment operates semi-independently, allowing the complex AI system to be integrated without requiring the entire system to be re-engineered, thus managing complexity while improving reliability
Solution Approach 2:
The secondary linear control system acts as an intermediary between the primary AI control system and the stabiliser mechanics. It validates control signals from the primary system and provides a fallback mechanism, mediating the interaction between the complex non-linear system and the physical stabilisation mechanisms to ensure safety
2Reliability
If a dual control system with redundant validation is implemented, then the operational safety is improved, but the device complexity increases
Solution Approach 1:
The secondary linear control system is configured to validate control signals beforehand before they are transmitted to the stabiliser mechanics. This prior validation acts as a cushioning mechanism that prevents potentially harmful control actions from reaching the stabilisation system, ensuring safety without requiring complete system redesign
Solution Approach 2:
The system changes the control parameters by using different mathematical models (non-linear AI-based vs. linear PID-based) for signal generation and validation. This parameter diversity allows the secondary system to catch errors that the primary system might miss, improving safety through parameter variation rather than structural complexity
3Adaptability or versatility
If advanced non-linear control algorithms are used to handle varying operational conditions, then the adaptability is improved, but the difficulty of detecting and measuring system state increases
Solution Approach 1:
The system implements feedback mechanisms where vessel motion data is continuously collected by sensors and fed back to both control systems. This feedback loop allows the non-linear control system to adapt to varying conditions while providing measurable parameters for monitoring and validation, reducing the difficulty of detecting and measuring system state
Data Source
Figure 1~2
Figure 3
Figure 4
AI summary
A method of stabilising a marine vessel having a stabiliser system is provided. The method comprises receiving real-time vessel motion data from at least one vessel motion sensor, generating one or more primary control signals based on the vessel motion data by means of a primary non-linear control system and generating one or more secondary control signals based on the vessel motion data by means of a secondary linear control system. The method further comprises selecting either the primary control signals or the secondary control signals and transmitting the selected control signals to the vessel stabiliser system.