Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

151
Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
151
Multimachine Stability01:25

Multimachine Stability

251
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
251
Stability of structures01:14

Stability of structures

276
In mechanical engineering, the stability of systems under various forces is critical for designing durable and efficient structures. One fundamental way to explore these concepts is by analyzing systems like two rods connected at a pivot point, O, with a torsional spring of spring constant k at the pivot point. This system is similar in appearance to a scissor jack used to change tires on a car. In this case, the arms of the linkage (equivalent to the rods in this system) are entirely vertical,...
276
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

204
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...
204
Controller Configurations01:22

Controller Configurations

187
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...
187
Control System Problem01:21

Control System Problem

212
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.
When forming a closed-loop system, issues can arise if the poles cross into the unstable region, leading to potential...
212

You might also read

Related Articles

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

Sort by
Same author

Multi-omics reveals the mechanism of Rehmannia glutinosa Libosch. Processed with Amomum villosum Lour. in treating blood deficiency syndrome.

Journal of ethnopharmacology·2026
Same author

Hypoxia-Inducible Factor Prolyl Hydroxylase EGLN3 Stabilizes Atherosclerotic Plaques in ApoE<sup>-/-</sup> Mice Independently of Its Catalytic Activity.

Arteriosclerosis, thrombosis, and vascular biology·2026
Same author

Chronic Exposure to NaAsO<sub>2</sub> Induces Renal Fibrosis by Modulating Gut Microbiota-Mediated AhR/NLRP3 Inflammasome Signaling Pathway.

Journal of agricultural and food chemistry·2026
Same author

Hl48 modulates argonaute 2 to enhance RNA interference in ticks.

Frontiers in cellular and infection microbiology·2026
Same author

A novel <i>ANK1</i> gene mutation associated with hereditary spherocytosis: a case report.

Frontiers in pediatrics·2026
Same author

Probiotic potential of <i>Enterococcus faecium</i> SWUN5732 isolated from yak yogurt: integrated <i>in vitro</i> and <i>in vivo</i> evaluation for yak health.

Veterinary world·2026

Related Experiment Video

Updated: Oct 17, 2025

Optimization, Test and Diagnostics of Miniaturized Hall Thrusters
12:22

Optimization, Test and Diagnostics of Miniaturized Hall Thrusters

Published on: February 16, 2019

9.2K

System Performance Analysis for Trimmable Horizontal Stabilizer Actuator Focusing on Nonlinear Effects: Based on

Wensen Zhang1,2, Jian Fu1,2, Yongling Fu1,2

  • 1School of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China.

Sensors (Basel, Switzerland)
|October 13, 2021
PubMed
Summary

Electromechanical actuators (EMAs) are replacing hydraulic systems in electric aircraft. This study models EMA nonlinearities like friction and backlash for better system performance analysis in model-based systems engineering.

Keywords:
incremental methodologymulti-level modellingnonlinear effectparameter identificationsystem performancetrimmable horizontal stabilizer actuator

More Related Videos

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

1.8K
A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
09:04

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

Published on: June 1, 2022

3.2K

Related Experiment Videos

Last Updated: Oct 17, 2025

Optimization, Test and Diagnostics of Miniaturized Hall Thrusters
12:22

Optimization, Test and Diagnostics of Miniaturized Hall Thrusters

Published on: February 16, 2019

9.2K
Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

1.8K
A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
09:04

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

Published on: June 1, 2022

3.2K

Area of Science:

  • Aerospace Engineering
  • Mechanical Engineering
  • Systems Engineering

Background:

  • The shift towards all-electric aircraft necessitates advanced actuation systems.
  • Electromechanical actuators (EMAs) offer a promising alternative to traditional hydraulic servo actuators (HSAs).
  • Accurate system modeling is crucial for the successful implementation of EMAs in aerospace applications.

Purpose of the Study:

  • To develop a system model for an EMA used in a trimmable horizontal stabilizer.
  • To support a model-based systems engineering (MBSE) approach by defining appropriate model complexity.
  • To incrementally introduce and analyze nonlinear effects impacting EMA performance.

Main Methods:

  • An incremental modeling approach was used to progressively incorporate nonlinear effects.
  • Key nonlinearities considered include friction, backlash in the no-back mechanism, and mechanical load path compliance.
  • Parameter identification methods were employed for realistic modeling of nonlinear dynamics.
  • Model responses were compared with experimental results for validation.

Main Results:

  • The study successfully established models of varying complexity, isolating individual nonlinear effects.
  • The impact of friction, backlash, and compliance on EMA performance was quantitatively analyzed.
  • Validation against experimental data confirmed the accuracy of the developed models.
  • The incremental approach effectively distinguished the influence of each nonlinearity.

Conclusions:

  • Accurate modeling of nonlinear dynamics is essential for predicting EMA performance in aerospace systems.
  • The proposed incremental modeling strategy effectively captures the dominant nonlinear effects.
  • This methodology supports robust system design and validation within an MBSE framework.
  • Understanding individual nonlinearities is key to optimizing EMA design for electric aircraft.