Results 61 to 70 of about 14,180,617 (194)
Online Cyber‐Physical Neural Network Model for Real‐Time Hybrid Simulation
ABSTRACT Real‐time hybrid simulation (RTHS) is an experimental testing methodology that divides a structural system into an analytical and an experimental substructure. The analytical substructure is modeled numerically, and the experimental substructure is modeled physically in the laboratory. The two substructures are kinematically linked together at
Faisal Nissar Malik +3 more
wiley +1 more source
This brief improves the motion precision of a pump-controlled electrohydraulic actuator with input saturation and heavy friction. A model-based adaptive commander filtering control (CFC) with the integration of an anti-windup auxiliary system and ...
Ning Ye, Jinchun Song, Guangan Ren
doaj +1 more source
ABSTRACT Typically, batteries are the main power source for mobile robots, and the practical constraints in carrying them pose challenges in achieving efficiency, autonomy, and safety objectives in robotic missions. Moreover, dealing with battery degradation requires a precise understanding of energy consumers' behavior in the system.
Parham Haji Ali Mohamadi +3 more
wiley +1 more source
A Novel Observer Design for LuGre Friction Estimation and Control [PDF]
Dynamic components of the friction may directly impact the stability and performance of the motion control systems. The LuGre model is a prevalent friction model utilized to express this dynamic behavior.
Morgül, Ömer, Odabaş, Caner
core +4 more sources
Hydraulic system smoothness is critical to product quality and position tracking. However, the nonlinear friction is an important factor causing unstable phenomenon of the hydraulic system when at low speed.
Yang Pan +3 more
doaj +1 more source
Robotic manipulators are complex mechanical systems that exhibit highly nonlinear dynamics and subject to various forms of disturbances such as friction, external forces and other unmodelled dynamics. A novel extended state observer‐based control scheme is introduced to enhance motion control performances of robot manipulators in presence of modelling ...
Muhammet Umut Danis +1 more
wiley +1 more source
This article proposes a novel model predictive control (MPC) strategy for a triaxial servo system with the capability of suppressing multiple disturbances. The discrete state‐space model is built for a triaxial servo system, considering nonlinear disturbances as constraints, and Q‐learning algorithm is used to identify the parameters of the nonlinear ...
Qian Zhang +3 more
wiley +1 more source
Machine Learning-Based Dynamic Modeling of Ball Joint Friction for Real-Time Applications
Ball joints are components of the vehicle axle, and their friction characteristics must be considered when evaluating vibration behavior and ride comfort in driving simulator-based simulations.
Kai Pfitzer +4 more
doaj +1 more source
Magnetorheological Fluid Dampers: A Close Look at Efficient Parametric Models
The reasonable efficiency, high reliability, and minimal maintenance requirements of the semiactive control algorithms make this form of structural control the most successful method from a practical point of view. In addition, significant progress has been made in structural control devices.
Arash Bahar +4 more
wiley +1 more source
Experimental and System-Level Simulation Study of Stick–Slip Characteristics in Pneumatic Cylinders
This paper presents a comprehensive experimental and simulation study on the stick–slip characteristics of pneumatic cylinders operating at low velocities.
Hai Nguyen Ngoc +2 more
doaj +1 more source

