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Related Concept Videos

PD Controller: Design01:26

PD Controller: Design

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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,...
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PID Controller01:19

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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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A cruise control system in a car is designed to maintain a specified speed automatically by adjusting the gas pedal. The system continuously measures the vehicle's speed and makes fine adjustments to the pedal to achieve this goal. The root locus method is particularly useful for understanding how the cruise control system's behavior changes under varying conditions, such as when the car goes uphill, downhill, or faces strong wind resistance.
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Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

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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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Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

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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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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

Updated: Jan 16, 2026

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
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The Integrated Disturbance Estimation and Non-Singular Terminal Sliding Mode Longitudinal Motion Controller for

Boyuan Li1, Wenfei Li2, Wei Hua3

  • 1Hong Kong Center for Construction Robotics (InnoHK Center Supported by Hong Kong ITC), Hong Kong.

Sensors (Basel, Switzerland)
|September 27, 2025
PubMed
Summary

This study introduces a novel controller for low-speed autonomous vehicles, addressing road disturbances and actuator delays. The new non-singular terminal sliding mode controller (NS-TSMC) improves motion control using pedal position, enhancing performance and comfort.

Keywords:
actuator delaydisturbance estimationmodel uncertaintynon-singular terminal sliding mode control

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Area of Science:

  • Automotive Engineering
  • Control Systems
  • Robotics

Background:

  • Low-speed autonomous vehicles face challenges from road disturbances, model uncertainty, and actuator delays.
  • Existing motion controllers often rely on unavailable motor/brake torque control.

Purpose of the Study:

  • To develop an integrated disturbance estimation and non-singular terminal sliding mode controller (NS-TSMC) for low-speed autonomous vehicles.
  • To achieve longitudinal motion control via traction/brake pedal position, overcoming common disturbances.

Main Methods:

  • Proposed a longitudinal dynamic vehicle model including brake-by-wire and motor actuator models, accounting for disturbances and delays.
  • Developed a disturbance and uncertain parameter estimator integrated with NS-TSMC.
  • Verified the vehicle model using experimental data from a low-speed autonomous sightseeing vehicle.

Main Results:

  • The integrated NS-TSMC demonstrated improved longitudinal motion tracking performance.
  • Enhanced motion comfort was observed compared to a traditional proportional-integral-derivative (PID) controller.
  • Experimental and simulation results validated the controller's effectiveness.

Conclusions:

  • The proposed NS-TSMC effectively manages disturbances in low-speed autonomous vehicles.
  • Traction/brake pedal position control offers a viable alternative for motion control.
  • The integrated approach significantly enhances vehicle performance and passenger comfort.