Adaptive Control of Mechanical Gas Face Seals With Rotor Runout and Static Stator Misalignment

2010 ◽  
Vol 132 (4) ◽  
Author(s):  
Haojiong Zhang ◽  
Robert G. Landers ◽  
Brad A. Miller
Keyword(s):  
Adaptive Control ◽  
Degrees Of Freedom ◽  
Equations Of Motion ◽  
Control Technique ◽  
Estimation Errors ◽  
Adaptive Controllers ◽  
Gas Leakage ◽  
Robust Model ◽  
Robust Adaptive ◽  
Model Reference Adaptive

This paper presents a control methodology that utilizes a robust model reference adaptive control technique to regulate the dynamic behavior of a coned mechanical gas face seal system in a flexibly mounted stator configuration. Individual adaptive controllers are designed for the three stator rigid body degrees of freedom based on the linear portions of their respective equations of motion. The force and moments generated within the gas film are estimated using Kalman filter-based estimators and directly cancelled in the control algorithm using offset control signals. The estimation errors are considered as bounded disturbances to the seal system and are taken into account by the robust adaptive controllers. Simulation results show that the controllers effectively stabilize the stator motion and control the stator tilts to synchronously track the rotor runout with near-zero relative misalignment magnitude and phase shift, thus, minimizing gas leakage.

scholarly journals Robust Fractional Adaptive Control Based on the Strictly Positive Realness Condition

2009 ◽  
Vol 19 (1) ◽  
pp. 69-76 ◽  
Author(s):  
Samir Ladaci ◽  
Abdelfatah Charef ◽  
Jean Loiseau
Keyword(s):  
Adaptive Control ◽  
Fractional Order ◽  
Robust Adaptive Control ◽  
Adaptive Controllers ◽  
Actuator Dynamics ◽  
Control Scheme ◽  
Positive Realness ◽  
Robust Adaptive ◽  
Model Reference Adaptive ◽  
Strictly Positive Realness

Robust Fractional Adaptive Control Based on the Strictly Positive Realness ConditionThis paper presents a new approach to robust adaptive control, using fractional order systems as parallel feedforward in the adaptation loop. The problem is that adaptive control systems may diverge when confronted with finite sensor and actuator dynamics, or with parasitic disturbances. One of the classical robust adaptive control solutions to these problems makes use of parallel feedforward and simplified adaptive controllers based on the concept of positive realness. The proposed control scheme is based on the Almost Strictly Positive Realness (ASPR) property of the plant. We show that this condition implies also robust stability in the case of fractional order controllers. An application to Model Reference Adaptive Control (MRAC) with a fractional order adaptation rule is provided with an implementable algorithm. A simulation example of a SISO robust adaptive control system illustrates the advantages of the proposed method in the presence of disturbances and noise.

A Robust Model Reference Adaptive Control Framework for Integrated Flight Propulsion System

2020 ◽  
Author(s):  
Haonan Wang ◽  
Xi Wang
Keyword(s):  
Adaptive Control ◽  
Reference Model ◽  
Model Reference Adaptive Control ◽  
Propulsion System ◽  
Parametric Uncertainties ◽  
Robust Model ◽  
Control Framework ◽  
Simulation Results ◽  
Robust Adaptive ◽  
Model Reference Adaptive

Abstract In this paper, a robust model reference adaptive control framework for the integrated flight propulsion system has been proposed. It could serve as a general controller structure for the integrated flight propulsion system. The linear state feedback controller using LQR method is firstly designed under deterministic uncertainty-free conditions, serving as the reference model. Robust adaptive controller is thereafter introduced to make the system state trajectories converge to the reference model under parametric uncertainties. It is worth noting that, such an arrangement makes the whole control framework easy to be implemented as a modification to existing well designed linear controllers. Besides, high order complexities of the system can be resolved by decomposing it using singular perturbation method based on time scale. A formal stability proof will be provided. The whole control framework has been implemented on a trim point of an F-16 model. Only actuator anomalies have been concerned as uncertainties to verify the effectiveness of the control framework. However, this structure can be easily extended to accommodate other parametric uncertainties. The simulation results of the controller implemented on the nonlinear system near an equilibrium point will be provided. Superior performance regarding stability and robustness can be observed from the simulation results with robust adaptive augmentation controller used.

Design of a Robust Model Reference Adaptive Control System

2012 ◽  
Vol 236-237 ◽  
pp. 976-980
Author(s):  
Xiu Chun Zhao ◽  
Guo Kai Xu ◽  
Tao Zhang ◽  
Ping Su Ge
Keyword(s):  
Adaptive Control ◽  
Control System ◽  
Adaptive Controller ◽  
Robust Adaptive Control ◽  
Adaptive Control System ◽  
External Disturbances ◽  
Robust Model ◽  
Robust Adaptive ◽  
Model Reference Adaptive ◽  
Adaptive Control Law

This paper addresses a robust adaptive control system based on Popov hyper-stability theory, which has strong robustness for the particular structure. Introducing the error between model and controlled object into adaptive controller, the system has accurate tracking capability and the convergence even in the presence of external disturbances and uncertainties. Simulations results are given to illustrate the effectiveness of the proposed robust adaptive control law in comparison with PID control.

Adaptive Control of a Sliding Seat Using Magnetorheological Energy Absorbers

2010 ◽  
Author(s):  
Min Mao ◽  
Norman M. Wereley ◽  
Alan L. Browne
Keyword(s):  
Adaptive Control ◽  
Degrees Of Freedom ◽  
Adaptive Controller ◽  
Degree Of Freedom ◽  
Lumped Mass ◽  
Adaptive Controllers ◽  
Bingham Number ◽  
Control Objective ◽  
Payload Mass ◽  
Energy Absorbers

Feasibility of a sliding seat utilizing adaptive control of a magnetorheological (MR) energy absorber (MREA) to minimize loads imparted to a payload mass in a ground vehicle for frontal impact speeds as high as 7 m/s (15.7 mph) is investigated. The crash pulse for a given impact speed was assumed to be a rectangular deceleration pulse having a prescribed magnitude and duration. The adaptive control objective is to bring the payload (occupant plus seat) mass to a stop using the available stroke, while simultaneously accommodating changes in impact velocity and occupant mass ranging from a 5th percentile female to a 95th percentile male. The payload is first treated as a single-degree-of-freedom (SDOF) rigid lumped mass, and two adaptive control algorithms are developed: (1) constant Bingham number control, and (2) constant force control. To explore the effects of occupant compliance on adaptive controller performance, a multi-degree-of-freedom (MDOF) lumped mass biodynamic occupant model was integrated with the seat mass. The same controllers were used for both the SDOF and MDOF cases based on SDOF controller analysis because the biodynamic degrees of freedom are neither controllable nor observable. The designed adaptive controllers successfully controlled load-stroke profiles to bring payload mass to rest in the available stroke and reduced payload decelerations. Analysis showed extensive coupling between the seat structures and occupant biodynamic response, although minor adjustments to the control gains enabled full use of the available stroke.

Robust Adaptive Tracking Control of Autonomous Underwater Vehicle-Manipulator Systems

2014 ◽  
Vol 136 (5) ◽  
Author(s):  
Mohan Santhakumar ◽  
Jinwhan Kim
Keyword(s):  
Adaptive Control ◽  
Control Algorithm ◽  
Autonomous Underwater Vehicle ◽  
Underwater Vehicle ◽  
Dynamic Coupling ◽  
Unknown Parameters ◽  
Adaptive Tracking Control ◽  
Control Scheme ◽  
Robust Adaptive ◽  
Model Reference Adaptive

This paper proposes a new tracking controller for autonomous underwater vehicle-manipulator systems (UVMSs) using the concept of model reference adaptive control. It also addresses the detailed modeling and simulation of the dynamic coupling between an autonomous underwater vehicle and manipulator system based on Newton–Euler formulation scheme. The proposed adaptation control algorithm is used to estimate the unknown parameters online and compensate for the rest of the system dynamics. Specifically, the influence of the unknown manipulator mass on the control performance is indirectly captured by means of the adaptive control scheme. The effectiveness and robustness of the proposed control scheme are demonstrated using numerical simulations.

scholarly journals Robust Adaptive Control of MIMO Pure-Feedback Nonlinear Systems via Improved Dynamic Surface Control Technique

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 96672-96685 ◽  
Author(s):  
Yang Zhou ◽  
Wenhan Dong ◽  
Shuangyu Dong ◽  
Yong Chen ◽  
Renwei Zuo ◽  
...  
Keyword(s):  
Adaptive Control ◽  
Nonlinear Systems ◽  
Dynamic Surface Control ◽  
Robust Adaptive Control ◽  
Control Technique ◽  
Dynamic Surface ◽  
Surface Control ◽  
Robust Adaptive
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