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Controller Configurations

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Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
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Related Experiment Video

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Eye Tracking During A Complex Aviation Task For Insights Into Information Processing

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Published on: April 4, 2025

Lateral automatic landing guidance law based on risk-state model predictive control.

Lipeng Wang¹, Xiangli Jiang¹, Zhi Zhang¹

¹College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, 150001, PR China.

ISA Transactions

|December 28, 2021

Summary

A new control law for automatic carrier landing systems (ACLS) enhances precision and reduces landing risks for carrier-based aircraft. This method integrates approach and arresting risks for safer, more accurate landings.

Keywords:

Carrier-based aircraft Landing risk Lateral landing Model predictive control Virtual states

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Area of Science:

Aerospace Engineering
Control Systems
Robotics

Background:

Carrier-based aircraft operations present significant landing challenges due to dynamic environments.
Existing automatic carrier landing systems (ACLS) require enhanced precision and risk mitigation strategies.

Purpose of the Study:

To develop a novel control law for ACLS to suppress landing risks and improve control precision.
To establish a robust landing risk model integrating approach and arresting phases.

Main Methods:

Transformation of nonlinear lateral landing equations into a polytopic model with state bounds.
Development of a landing risk model using a Kalman filter to integrate approach and arresting risks.
Implementation of risk-state model predictive control (MPC) based on virtual states and time-varying weights.

Main Results:

A polytopic model was derived from nonlinear lateral landing equations.
A Kalman filter effectively integrated approach and arresting risks into a unified landing risk model.
The proposed risk-state MPC demonstrated excellent performance in simulations.

Conclusions:

The developed ACLS control law effectively suppresses landing risks and enhances control precision.
The risk-state MPC approach offers a promising solution for safe and precise carrier-based aircraft landings.