An Adaptive Control of Nonlinear Time-Varying Hydraulic Servo Systems

Park, H.J.; Cho, H.S.; Hyun, Bongjoon

doi:10.23919/acc.1989.4790502

Cited by 6 publications

(2 citation statements)

References 2 publications

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“…The relation between the servo valve spool position and the input current can be written as (1) where torque motor gain; natural frequency of the servo valve; damping ratio of the servo valve. Defining the load pressure as and the load flow as , the relationship between the load pressure and the load flow for an ideal critical center servo valve with a matched and symmetric orifice can be expressed as follows [27]: (2) where represents the servo valve's sizing factor and is the supply pressure. When the continuity equation is applied to the fluid flowing in each chamber of the hydraulic motor, the following expression can be derived:…”

Section: Dynamics Of the Aeroload Simulatormentioning

confidence: 99%

A fuzzy controller for an aeroload simulator using phase plane method

Lee

Cho²

2001

IEEE Trans. Contr. Syst. Technol.

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The objective of this paper is to realize a fuzzy logic controller for an aeroload simulator, which simulates the aerodynamic load that a missile is subjected to on flight. In this paper, we propose a new fuzzy logic controller using the phase plane, in order to improve the overall performance of the aeroload simulator system. The design procedure and method of this controller are easy and simple such that performance evaluation of the aeroload simulator is carried out in a phase plane mapped from a decision rule table. The effectiveness of this control scheme is verified by comparison with a proportional integral derivative (PID) and a fixed fuzzy control through a series of simulation studies.

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Section: Dynamics Of the Aeroload Simulatormentioning

confidence: 99%

A fuzzy controller for an aeroload simulator using phase plane method

Lee

Cho²

2001

IEEE Trans. Contr. Syst. Technol.

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“…To solve such hydraulic servo problems some research efforts on adaptive control approaches have been made in recent years (Park and Cho, 1989;Shih and Shu, 1991). These control techniques provide satisfactory results over relatively much larger ranges of changes in the plant dynamics.…”

Section: Introductionmentioning

confidence: 99%

A new type of control method for electro-hydraulic Servo systems

Xiong

2008

2008 7th World Congress on Intelligent Control and Automation

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Internal model control (IMC) has been widely used because of its easily designed method and simple tuning policy. But better performance cannot be obtained when it is used in hydraulic servo system control directly because of the systems' uncertainties, time varying and highly nonlinear characteristics due to the flow-pressure relationship, oil leakage, oil temperature variation, load disturbances, integrating characteristic and the high open-loop gain. In this paper a kind of two-degree-of freedom IMC method for Electro-hydraulic servo systems is prompted in which a classical foreword internal model controller and a novel feedback fuzzy controller are designed. The transfer-function-based factorization approach in the frequency domain is used to analyze the stability of the system. Simulation experiments show better dynamic performance and disturbance rejection.Index Terms -Electro-hydraulic servo systems, fuzzy system, two-degree-of freedom internal model control

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On the realization of an accurate hydraulic servo through an iterative learning control

Park¹,

Cho²

1992

Mechatronics

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An Adaptive Control of Nonlinear Time-Varying Hydraulic Servo Systems

Cited by 6 publications

References 2 publications

A fuzzy controller for an aeroload simulator using phase plane method

A fuzzy controller for an aeroload simulator using phase plane method

A new type of control method for electro-hydraulic Servo systems

On the realization of an accurate hydraulic servo through an iterative learning control

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