Design of different reference model based model reference adaptive controller for inversed model non-minimum phase system

Pal, Mita; Sarkar, Gautam; Barai, Ranjit Kumar; Roy, Tamal

doi:10.18280/mmep.040202

Cited by 9 publications

(2 citation statements)

References 10 publications

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“…where, θ 1 and θ 2 refer the control parameters, y is the plant output, y m is the reference model output, and r is the reference input signal. The tracking error of the control system is given in (20):…”

Section: State Estimation With Kalman Filtermentioning

confidence: 99%

Kalman State Estimation and LQR Assisted Adaptive Control Of a Variable Loaded Servo System

Aydoğdu

Levent

2019

Eng. Technol. Appl. Sci. Res.

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This study actualized a new hybrid adaptive controller design to increase the control performance of a variable loaded time-varying system. A structure in which LQR and adaptive control work together is proposed. At first, a Kalman filter was designed to estimate the states of the system and used with the LQR control method which is one of the optimal control servo system techniques in constant initial load. Then, for the variable loaded servo (VLS) system, the Lyapunov based adaptive control was added to the LQR control method which was inadequate due to the constant gain parameters. Thus, it was aimed to eliminate the variable load effects and increase the stability of the system. In order to show the effectiveness of the proposed method, a Quanser servo module was used in Matlab-Simulink environment. It is seen from the experimental results and performance measurements that the proposed method increases the system performance and stability by minimizing noise, variable load effect and steady-state error.

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Section: State Estimation With Kalman Filtermentioning

confidence: 99%

Kalman State Estimation and LQR Assisted Adaptive Control Of a Variable Loaded Servo System

Aydoğdu

Levent

2019

Eng. Technol. Appl. Sci. Res.

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“…[1] Finite element dynamic mode has long been applied to the study of the rotor dynamic simulation since the 1970s, and has been gradually developed in these years. [2] Compared with the original models which only considered the inertia movement's influence, the latest models are more closed to the engineer practice, since the factors such as rotational inertia, gyroscopic couple, axial load, internal and external anticorrosion, shearing deformation, bearing spring, foundation elasticity, and so on are all discussed in these models. Moreover, the influence of the sliding bearing and sealing lubricate oil has been widely applied to the research of small circulation gap structure, which greatly improved the finite element dynamic mode.…”

Section: Introductionmentioning

confidence: 99%

Study on critical speed of rotation in the multistage high speed centrifugal pumps rotors

Tian¹,

Hu²

2018

IJHT

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Apart from hydraulic performance, the critical rotate speed in wet operating condition (the liquid lubricant state) is an important parameter in the designing of the multistage high speed centrifugal pumps rotors. In this paper, the finite element dynamic model of the rotor in dry state (without lubricate) is analysed by the lubricant fluid applied to the disk and cylinder parts, and a resistance equation of the influence of the fluid is proposed based on the analysis. This resistance is then coupled into the dry state finite element dynamic model to obtain that of the wet state, which is considered as the fluid-solid coupled interaction. With this model, the study further studies the influence of several factors on the inherent frequency of the rotor, and simulates the bending and torsion formation of the physical model. Simulation results show that, when the fluid's influence is considered, the inherent frequency of the rotor is very different from that of the dry state, and hence this influence cannot be neglected in the designing of the rotor. These results are also verified by corresponding experiments.

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Grid-Connected Photovoltaic System Stability Enhancement Using Ant Lion Optimized Model Reference Adaptive Control Strategy

Negi¹,

Pal

2020

Differ Equ Dyn Syst

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Design of different reference model based model reference adaptive controller for inversed model non-minimum phase system

Cited by 9 publications

References 10 publications

Kalman State Estimation and LQR Assisted Adaptive Control Of a Variable Loaded Servo System

Kalman State Estimation and LQR Assisted Adaptive Control Of a Variable Loaded Servo System

Study on critical speed of rotation in the multistage high speed centrifugal pumps rotors

Grid-Connected Photovoltaic System Stability Enhancement Using Ant Lion Optimized Model Reference Adaptive Control Strategy

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