Related Experiment Video
Updated: Jun 18, 2026
11:53
The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
Published on: October 14, 2017
Optimization of shared autonomy vehicle control architectures for swarm operations
Aaron J Sengstacken1, Daniel A DeLaurentis, Mohammad R Akbarzadeh-T
1Department of Aeronautics and Astronautics, Purdue University, West Lafayette, IN 47906, USA. Aaron.J.Sengstacken@jpl.nasa.gov
Summary
Future high-speed vehicle swarms require shared autonomy. This approach combines human and machine strengths, optimizing control through genetic algorithms and fuzzy logic for safe, efficient transportation.
Area of Science:
- Automotive engineering
- Control systems
- Human-computer interaction
Background:
- Increasing demand for automotive transportation capacity amidst resource constraints.
- Convergence of technologies enabling new operational concepts like vehicle swarms.
- Need for advanced management techniques for safe and efficient high-speed, close-proximity vehicle interactions.
Purpose of the Study:
- To propose and develop a shared autonomy control approach for vehicle swarms.
- To optimize shared autonomy architectures for diverse driver response times.
- To identify critical technological requirements for enabling safe swarm operations.
Main Methods:
- Implementation of a fuzzy logic control system.
- Utilizing a genetic algorithm to search for optimal fuzzy rules and architectures.
- Analysis of swarm architecture transitions based on varying sensor capabilities.
Main Results:
- Development of optimal shared autonomy architectures tailored to different driver response times.
- Identification of a "phase transition" in swarm safety correlating with sensor capability.
- Insights into the technological dependencies for successful swarm operations.
Conclusions:
- Shared autonomy, integrating human and machine capabilities, is a viable control approach for vehicle swarms.
- Genetic algorithms and fuzzy logic are effective tools for optimizing swarm control architectures.
- Sufficient sensor capability is crucial for maintaining safe and reliable swarm operations.
Related Concept Videos
01:22Controller 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...
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller aligns...
01:18Hierarchy 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.
01:17Open 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...
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...
01:21Distributed Loads: Problem Solving
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
01:25Control 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...
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...
01:26PD 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,...
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...