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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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Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
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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...
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Visualize a drone, with its propellers spinning rapidly, hovering mid-air. The fascinating movements and operations of this drone can be comprehended by applying the principle of general plane motion.
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Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
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Time-Domain Interpretation of PD Control01:07

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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.
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Early Metamorphic Insertion Technology for Insect Flight Behavior Monitoring
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Fixed-time switching tracking control for unmanned helicopter with multiple constraints.

Haibo Wang1, Shuang Shi1, Ziyang Zhen1

  • 1College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China.

ISA Transactions
|June 26, 2025
PubMed
Summary

This study introduces a fixed-time disturbance observer (FTDO) for unmanned helicopters (UH) to ensure trajectory tracking despite disturbances and constraints. The novel control scheme guarantees precise flight path tracking within a finite time.

Keywords:
Fixed-time controlInput saturationOutput constraintsSwitching controlUnmanned helicopters

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Area of Science:

  • Robotics and Control Systems
  • Aerospace Engineering
  • Nonlinear Control Theory

Background:

  • Unmanned helicopters (UH) face challenges with composite disturbances and multiple constraints like input saturation and time-varying output limitations.
  • Existing control strategies often struggle to guarantee finite-time convergence under such complex conditions.
  • Accurate disturbance estimation and robust constraint handling are crucial for reliable UH operation.

Purpose of the Study:

  • To propose a fixed-time switching tracking control scheme for a 6-DOF UH.
  • To address multiple constraints, including input saturation and time-varying output constraints.
  • To enhance trajectory tracking performance and robustness against composite disturbances.

Main Methods:

  • Development of a fixed-time disturbance observer (FTDO) for composite disturbance estimation.
  • Application of an improved fixed-time auxiliary system to counteract input saturation nonlinearity.
  • Design of a novel switching boundary protection algorithm for effective output constraint management.
  • Implementation of a fixed-time switching back-stepping control method for position and attitude loops.

Main Results:

  • The proposed fixed-time controller ensures trajectory tracking within a finite, predetermined time, independent of initial conditions.
  • The control scheme effectively handles input saturation and time-varying output constraints.
  • The improved FTDO accurately estimates composite disturbances, including approximation errors and external factors.
  • Experimental results validate the effectiveness of the developed fixed-time switching tracking control scheme for UH.

Conclusions:

  • The proposed fixed-time switching tracking control scheme provides a robust solution for 6-DOF UH trajectory control under complex constraints and disturbances.
  • The integration of FTDO and a novel switching strategy significantly improves tracking accuracy and finite-time convergence.
  • This research contributes to the advancement of autonomous flight control systems for unmanned aerial vehicles.