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Open and closed-loop control systems

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...

Control Systems

Control Systems

Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
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Feedback control systems

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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...

Control System Problem

Control System Problem

In an open-loop system, such as a basic thermostat, the poles of the transfer function influence the system's response but do not determine its stability. However, when feedback is introduced to form a closed-loop system, such as an advanced thermostat that adjusts heating based on room temperature, stability is governed by the new poles of the closed-loop transfer function.
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PI Controller: Design

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Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...

Positive and Negative Feedback Loops

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Related Experiment Video

Updated: Jun 26, 2026

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

RUPERT closed loop control design.

Sivakumar Balasubramanian¹, Ruihua Wei, Jiping He

¹Harrington Department of Bioengineering, Arizona State University, Tempe, 85287, USA.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|January 24, 2009

Summary

This summary is machine-generated.

This study introduces an adaptive robot control strategy for the RUPERT wearable robotic exoskeleton to enhance stroke rehabilitation. The novel controller demonstrates consistent performance across different subjects and tasks.

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Interactive and Visualized Online Experimentation System for Engineering Education and Research

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Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

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Published on: May 8, 2021

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

Area of Science:

Rehabilitation robotics
Neurorehabilitation engineering
Biomechatronics

Background:

Stroke rehabilitation methods can be improved with robotic devices.
Wearable robotic exoskeletons offer potential for enhanced physical therapy.
Existing control strategies may lack adaptability for diverse patient needs.

Purpose of the Study:

To propose an adaptive robot control strategy for the RUPERT wearable robotic exoskeleton.
To enhance passive reaching tasks in stroke rehabilitation.
To develop a control scheme adaptable to different subjects and tasks.

Main Methods:

Utilized a wearable robotic exoskeleton (RUPERT) powered by pneumatic muscle actuators.
Implemented an adaptive control strategy combining PID feedback and Iterative Learning Control (ILC).
Developed a fuzzy rule-base to estimate the ILC learning rate.

Main Results:

The proposed adaptive control scheme demonstrated consistent performance.
The controller successfully adapted to different subjects performing distinct reaching tasks.
Preliminary results from two able-bodied subjects validated the control strategy's efficacy.

Conclusions:

The adaptive robot control strategy shows promise for improving stroke rehabilitation.
The RUPERT exoskeleton with the proposed controller can provide personalized rehabilitation.
Further research is warranted to explore its application in stroke patient populations.