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Related Concept Videos

Controller Configurations01:22

Controller Configurations

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.
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller aligns...
PD Controller: Design01:26

PD Controller: Design

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,...
Hierarchy of Motor Control01:18

Hierarchy of Motor Control

The hierarchy of motor control refers to the different levels of organization and processing involved in controlling movement in the body. These levels range from higher cortical areas involved in planning and decision-making to lower spinal cord reflexes that respond automatically to external stimuli.
Control Systems: Applications01:25

Control Systems: Applications

Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The direction...
Feedback control systems01:26

Feedback control systems

Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
Open and closed-loop control systems01:17

Open and closed-loop control systems

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 and...

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Haptic/Graphic Rehabilitation: Integrating a Robot into a Virtual Environment Library and Applying it to Stroke Therapy
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Sharing control with haptics: seamless driver support from manual to automatic control.

Mark Mulder1, David A Abbink, Erwin R Boer

  • 1Delft University of Technology, Kluyverweg 1, 2629 HS Delft, The Netherlands. Mark.Mulder@tudelft.nl

Human Factors
|November 20, 2012
PubMed
Summary

Haptic shared control reduces driver activity and improves safety during curve negotiation compared to manual control. This human-machine interface keeps drivers engaged while leveraging automation benefits.

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Area of Science:

  • Human-computer interaction
  • Automotive engineering
  • Control systems

Background:

  • Automation systems require driver vigilance due to reliability limitations.
  • Traditional manual vs. supervisory control modes present challenges.
  • Haptic shared control offers a promising alternative for driver-automation interaction.

Purpose of the Study:

  • To investigate haptic shared control as an intuitive human-machine interface for shared control during curve negotiation.
  • To compare driver and automatic controller collaboration under haptic shared control versus manual control.

Main Methods:

  • A driving experiment was conducted in a fixed-base simulator with 42 participants.
  • Curve negotiation behavior was analyzed under manual control, haptic shared control, and full automation.
  • Three haptic tuning configurations for the automatic controller were evaluated.

Main Results:

  • Haptic shared control reduced driver control activity (e.g., 16% steering wheel reversal rate) compared to manual control.
  • Improved safety performance was observed with haptic shared control (e.g., 11% reduction in peak lateral error).
  • Full automation enhanced safety significantly (35% reduction in peak lateral error) but shifted the driver to a supervisory role.

Conclusions:

  • Haptic shared control effectively integrates drivers into the control loop, enhancing performance while reducing control effort.
  • This approach mitigates issues associated with full automation by maintaining driver engagement.
  • Haptic support in vehicular control aims to synergize human capabilities with automation advantages.