Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

PD Controller: Design

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,...

Controller Configurations

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...

PI Controller: Design

PI Controller: Design

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...

Time and frequency -Domain Interpretation of PI Control

Time and frequency -Domain Interpretation of PI Control

Proportional-Integral (PI) controllers are essential in many control systems to improve stability and performance. They are commonly used in everyday devices like thermostats to enhance system damping and reduce steady-state error. When the zero in the controller's transfer function is optimally placed, the system benefits significantly in terms of stability and accuracy.
Acting as a low-pass filter, the PI controller slows the system's response and extends settling times. This requires...

Time-Domain Interpretation of PD Control

Time-Domain Interpretation of PD Control

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.
Consider the example of control of motor torque. Initially, a positive...

Phase-lead and Phase-lag Controllers

Phase-lead and Phase-lag Controllers

Understanding the working function of different types of controllers can be illustrated with practical analogies, such as adjusting a stereo's volume equalizer. Cranking up the bass involves a phase-lead controller, which functions as a high-pass filter, while increasing the treble uses a phase-lag controller, which acts as a low-pass filter. PD controllers, similar to high-pass filters, enhance the system's response to high-frequency components. PI controllers, akin to low-pass...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Triplet therapy with darolutamide and docetaxel for metastatic castration-sensitive prostate cancer: a multicenter real-world study.

Japanese journal of clinical oncology·2026

Same author

Probable Early-Stage Anti-Amphiphysin-Related Paraneoplastic Cerebellar Degeneration Associated With Undiagnosed Lung Squamous Cell Carcinoma: An Autopsy Case and Literature Review.

Neuropathology : official journal of the Japanese Society of Neuropathology·2026

Same author

Drug-induced hypersensitivity syndrome followed by exacerbation of Crohn's disease.

Pediatric investigation·2026

Same author

Evaluation of the Association between Age, Sex and d-Amino Acid-Based Estimation of Glomerular Filtration Rate.

Clinical journal of the American Society of Nephrology : CJASN·2026

Same author

Association between preoperative central sensitization-related symptoms and poor postoperative pain improvement after total knee arthroplasty: an exploratory analysis.

International orthopaedics·2026

Same author

Body Weight-Adjusted Grip Strength Better Discriminates Locomotive Syndrome Defined by the Stand-Up Test: A Cross-Sectional Study.

The Tohoku journal of experimental medicine·2026

Search research articles

Related Experiment Video

Updated: Apr 20, 2026

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

A design of a robust discrete-time controller.

Kyohei Sakai¹, Hiroki Shibasaki¹, Ryo Tanaka¹

¹School of Science and Technology, Meiji University, 1-1-1 Higashimita, Tamaku, Kawasaki, Kanagawa 214-8571, Japan.

ISA Transactions

|December 1, 2014

Summary

A novel discrete-time controller was developed, independent of plant parameters for robust control. This parameter-independent system demonstrates strong resilience against variations and disturbances.

Keywords:

Digital control Optimal control Robust control system State feedback

More Related Videos

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

Published on: August 15, 2020

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

Related Experiment Videos

Last Updated: Apr 20, 2026

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

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

Published on: August 15, 2020

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

Area of Science:

Control Systems Engineering
Robotics
Automation

Background:

Conventional optimal servo control systems often rely on precise knowledge of plant parameters.
Variations in plant parameters and external disturbances can significantly degrade control system performance.
Developing parameter-independent control strategies is crucial for enhancing robustness.

Purpose of the Study:

To propose a robust discrete-time controller that is independent of plant parameters.
To achieve a control system structure similar to conventional optimal servo control.
To validate the robustness of the proposed controller against parameter variations and disturbances.

Main Methods:

Derivation of a discrete-time controller based on the normalized plant concept.
Design of a control system that inherently excludes plant parameters.
Implementation and simulation of the proposed control strategy.

Main Results:

The developed discrete-time controller is independent of specific plant parameters.
The proposed control system maintains the structure of a conventional optimal servo control system.
Simulation and experimental results confirm the controller's robustness to plant parameter variations.
The controller effectively mitigates the impact of external disturbances.

Conclusions:

The proposed parameter-independent discrete-time controller offers a robust solution for control applications.
This approach enhances system reliability in the presence of uncertainties.
The method provides a viable alternative to traditional parameter-dependent control strategies.