Parameter Estimation in a Hydrostatic System Using Extended Kalman Filter Conferences

abstract

• Abstract In this paper, the Extended Kalman Filter (EKF) estimation technique is applied to a novel hydrostatic actuation system referred to as the Electrohydraulic Actuator (EHA). A state space model of the EHA is developed and the effective bulk modulus is estimated in simulation. The EHA is a high performance actuation system capable of moving large loads with very high accuracy and precision. In a practical situation, this parameter is very difficult to measure directly as it depends on entrained air which cannot be known at a particular point of time. The bulk modulus is critical for system response and a low bulk modulus as a result of air in the system can seriously hinder the performance of EHA and cause safety problems.

authors

• Chinniah, Yuvin A
• Burton, Richard
• Habibi, Saeid

status

• published 

publication date

• November 11, 2001

has subject area

• Industrial Engineering & Automation (Science Metrix)

published in

• Fluid Power Systems and Technology  Journal

presented at event

• ASME 2001 International Mechanical Engineering Congress and Exposition  Conference

keywords

• 40 Engineering
• 4001 Aerospace Engineering

Digital Object Identifier (DOI)

• 10.1115/imece2001/fpst-25000

start page

• 1

end page

• 6

volume

• 8