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

Load-frequency control

Load-frequency control

Load-frequency control (LFC) is vital for maintaining power system stability, ensuring that frequency and power flows remain within acceptable limits during load changes. Turbine-governor control eliminates rotor accelerations and decelerations following load changes. However, a steady-state frequency error persists when the change in the turbine-governor reference setting is zero. In an interconnected power system, each area agrees to export or import a scheduled amount of power through...

Feedback control systems

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...

Generator Voltage Control

Generator Voltage Control

Generator voltage control is crucial for maintaining the stable operation of synchronous generators and wind turbines. In older models, a DC generator driven by the rotor delivers DC power to the rotor's field winding, and the power is transferred through slip rings and brushes. In the latest models, static or brushless exciters are used. Static exciters rectify AC power from the generator terminals and then transfer the DC power directly to the rotor. Brushless exciters, on the other hand, use...

Linear Approximation in Frequency Domain

Linear Approximation in Frequency Domain

Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear.

Frequency-Domain Interpretation of PD Control

Frequency-Domain Interpretation of PD Control

Proportional-Derivative (PD) controllers are widely used in fan control systems to improve stability and performance. A fan control system can be effectively represented using a Bode plot to illustrate the impact of a PD controller through its transfer function. The Bode plot visually conveys how PD control modifies the fan's response across various frequencies, providing a frequency domain interpretation of the controller's behavior.
The proportional control gain, combined with the system's...

PID Controller

PID Controller

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...

You might also read

Related Articles

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

Sort by

Same author

Establishment of an efficient and reliable Agrobacterium-mediated genetic transformation system for the elite male-sterile poplar 'Siyang-1'.

BMC plant biology·2026

Same author

The Association Between "Weekend Warrior" Physical Activity Pattern and Neuropsychological Outcomes: A Systematic Review.

Behavioral sciences (Basel, Switzerland)·2026

Same author

PcabHLH58/PcabHLH151 regulates adventitious root development and nitrogen uptake in poplar.

Nature communications·2026

Same author

Hydrogen production via gasification of corn stover photo-fermentation Residue: Catalytic mechanism of alkali metals.

Bioresource technology·2026

Same author

The temporal transcriptional regulation enhances genomic prediction accuracy for poplar radial growth.

Journal of genetics and genomics = Yi chuan xue bao·2026

Same author

[Numerical simulation study on the influence of free edge configuration on the performance of polymeric heart valves].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi·2026

Same journal

Enhancing interpretable soft sensing with embedded hybrid modeling: the GraphTrans approach for industrial processes.

ISA transactions·2026

Same journal

Exploiting underutilized heterogeneous data: A multi-source domain adaptive siamese network for few-shot bearing fault diagnosis.

ISA transactions·2026

Same journal

Prescribed performance synchronization control of dual-PMSM motion system via novel sliding mode control and adaptive extended state observer.

ISA transactions·2026

Same journal

A Teager energy operator-informed shrinkage residual network for end-to-end noise-robust fault diagnosis of rotating machinery.

ISA transactions·2026

Same journal

Finite-time swing attenuation for differentially flat quadrotor slung-load systems via robust AFITSM-OSMC partitioned control.

ISA transactions·2026

Same journal

Energy-efficient exact-time chattering-free recursive sliding mode control of UUVs based on disturbance observer.

ISA transactions·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 19, 2026

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis

Published on: August 19, 2021

Adaptive parameterized control for line spectrum vibrations using a genetic algorithm-optimized variable forgetting

Lei Hou¹, Huayan Pu¹, Mengjing Li¹

¹State Key Laboratory of Mechanical Transmission for Advanced Equipment, Chongqing University, Chongqing, 400044, China.

ISA Transactions

|June 17, 2026

Summary

This summary is machine-generated.

This study introduces an adaptive controller that effectively suppresses vibrations from machinery. By optimizing control parameters with a genetic algorithm (GA), it achieves faster response and better steady-state performance for vibration control.

Keywords:

Active vibration control Genetic algorithm optimization Parameterized adaptive control Variable forgetting factor

Related Experiment Videos

Last Updated: Jun 19, 2026

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis

Published on: August 19, 2021

Area of Science:

Control Engineering
Mechanical Engineering
Signal Processing

Background:

Line-spectrum vibrations from equipment pose control challenges.
Conventional methods struggle with unknown, time-varying disturbances.
Adaptive control is needed for robust vibration suppression.

Purpose of the Study:

To propose a Youla(Q)-parameterized adaptive controller for unknown time-varying line-spectrum disturbance rejection.
To optimize forgetting factors using a genetic algorithm (GA).
To enhance adaptive control performance for vibration isolation.

Main Methods:

Youla parameterization to augment a base controller with tunable Q-parameters.
Recursive Least Squares (RLS) algorithm for Q-parameter tuning.
Genetic Algorithm (GA) for optimizing forgetting factor variation laws.
Experimental validation on an active vibration isolator.

Main Results:

The GA-enhanced adaptive controller demonstrated accelerated convergence speed.
Improved steady-state control performance was achieved.
Successful suppression of five simultaneous time-varying line-spectrum vibrations with an average peak attenuation of 39 dB.

Conclusions:

The proposed method effectively rejects unknown time-varying line-spectrum disturbances.
The GA optimization resolves the trade-off between convergence speed and steady-state error.
The controller shows practical efficacy and robustness in vibration isolation systems.