Event-triggered self-regulating integrated PID extreme optimization and fault-tolerant strategy for floating offshore platforms driven by TBG-EDF dual finite-time learning mechanism
Contact us if these videos are not relevant.
Contact us if these videos are not relevant.
View abstract on PubMed
Summary
This summary is machine-generated.This study introduces a novel control strategy to enhance floating offshore platform (FOP) stability and fault handling, specifically addressing anchor chain failures using finite-time learning. The new method improves system resilience against uncertainties.
Area Of Science
- Ocean Engineering
- Control Systems Engineering
- Marine Technology
Background
- Floating offshore platforms (FOPs) are susceptible to anchor chain failures, compromising safety and stability.
- Existing control methods struggle to effectively manage these failures in dynamic marine environments.
Purpose Of The Study
- To develop a novel event-triggered, self-tuning integrated PID control strategy for FOPs.
- To enhance FOP stability and fault handling capabilities, particularly against anchor chain failures.
- To achieve finite-time convergence and adapt to mixed uncertainties.
Main Methods
- Implementation of a finite-time learning-based PID control strategy.
- Integration of a time-based generator (TBG) for preset finite-time convergence.
- Utilization of nonlinear error-driven mechanisms and neural network approximation for adaptive state mapping.
- Design of an event-triggered dynamic control system with strategic parameter scheduling.
Main Results
- The proposed control strategy demonstrates effective finite-time convergence and asymptotic stability, validated by Lyapunov stability theory.
- Simulations on a real FOP system confirm the strategy's ability to handle anchor chain failures.
- The system successfully addresses internal and external uncertain dynamics, improving overall FOP performance.
Conclusions
- The novel event-triggered, self-tuning PID control strategy significantly enhances FOP stability and fault tolerance.
- Finite-time learning and adaptive mechanisms are crucial for managing complex offshore platform dynamics.
- This approach offers a robust solution for improving the safety and reliability of floating offshore platforms.
Contact us if these videos are not relevant.
Contact us if these videos are not relevant.
Related Concept Videos
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
Load-frequency control (LFC) is vital for maintaining power system stability, ensuring that frequency and power flows remain within acceptable limits during load changes. Turbine-governor control eliminates rotor accelerations and decelerations following load changes. However, a steady-state frequency error persists when the change in the turbine-governor reference setting is zero. In an interconnected power system, each area agrees to export or import a scheduled amount of power through...
Proportional-Integral-Derivative (PID) controllers are widely used in various control systems to enhance stability and performance. In a thermostat, it adjusts heating or cooling based on the temperature difference between the actual and desired levels. They are often used in automotive speed systems, effectively managing sudden speed changes while maintaining a constant speed under varying conditions. On the other hand, PI controllers, commonly employed in voltage regulation, enhance stability...
Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...