Servo System Using Pole-Placement with State Observer for Magnetic Levitation System

Aunsiri, Thanarat; Numanoy, Nitisak; Hemsuwan, Withun; Srisertpol, Jiraphon

doi:10.1007/978-3-642-55038-6_139

Cited by 5 publications

(4 citation statements)

References 3 publications

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“…In this section, we discuss the pole placement approach for the design of type servo control (integral control) [10].…”

Section: The Mlb Systemmentioning

confidence: 99%

Stability Enhancement of MLB System via Servo Approach

Numanoy¹,

Srisertpol²

2018

IJMERR

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A magnetic levitation ball (MLB) is required to operate over large variations in the air gap. Specifically, it may be difficult to design a linear controller that can provide satisfactory performance, stability and disturbance rejection over a wide range of operating points. Conventional controllers with the linearisation of a nonlinear system exhibit a low-efficiency control performance. To simplify a complex control system, in this paper, we analyse the robustness and stability of disturbance for a magnetic levitation system using Jacobian linearisation from the equilibrium point, by adding one integrator in an open-loop model and servo control system design with a state observer. The experimental results show that this method can be effectively controlled by dynamic response criteria of the control system. 

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“…In this section, we discuss the pole placement approach for the design of type servo control (integral control) [10].…”

Section: The Mlb Systemmentioning

confidence: 99%

Stability Enhancement of MLB System via Servo Approach

Numanoy¹,

Srisertpol²

2018

IJMERR

Self Cite

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“…The experiment evaluated the durability of external noise [1]. The researcher developed the controller for a state-level observer with the pole placement method for an electromagnetic wave with the servo system [2]. Xie D. proposed a control system with fuzzy logic to control the feed drives in a CNC machine [3].…”

Section: Introductionmentioning

confidence: 99%

Fault Tolerant Control Based on an Observer on PI Servo Design for a High-Speed Automation Machine

et al. 2020

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The fault tolerant control (FTC) technique is widely used in many industries to provide tolerance to systems so that they can operate when a system fault occurs. This paper presents a technique for FTC based on the observer signal application, which is used for a high-speed auto core adhesion mounting machine. The utilization of the observer signal information of the linear encoder fault is employed to adjust the gain parameters to achieve the appropriate gain value while maintaining the required performance of the system. The dynamic modeling of the servo motor system design utilizing a pole placement technique was designed to support the proposed method. A scaling gain fault step size adjustment from −1% to 1% with increments of 0.2% is used to simulate the fault conditions of the linear encoder. The statistical mean value of the observer error signal is used to train the artificial neural network (ANN) model. The results showed that the control system design successfully tracked the dynamic response. Furthermore, the ANN model, with more than 98% confidence, was satisfactory in classifying the linear encoder fault condition. The gain compensation was successful in reducing position error by more than 95% compared with the system without compensated gain.

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“…The corresponding controller then guarantees that the closed loop system poles have the predetermined values, thus shaping the closed loop system dynamics. Pole placement or robust pole placement is used in many applications, e.g., motion system control [10], servo-system control [11], or power system control [12,13].…”

Section: Introductionmentioning

confidence: 99%

“…Though a vast amount of literature has been devoted to robust control and control algorithm design, e.g., References [1][2][3][4][5][6][7][8][9][10][11], and various approaches have been developed both in frequency domain and in state space, there still remain open questions in this field. The important issue is computational tractability which also motivated linear matrix inequality (LMI) problem formulation and the use of the corresponding computationally efficient techniques that enable solving a large set of convex problems in a polynomial time (see, e.g., Reference [1]).…”

Section: Introductionmentioning

confidence: 99%

LMI Pole Regions for a Robust Discrete-Time Pole Placement Controller Design

Rosinová

Hypiusova

2019

Algorithms

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Herein, robust pole placement controller design for linear uncertain discrete time dynamic systems is addressed. The adopted approach uses the so called "D regions" where the closed loop system poles are determined to lie. The discrete time pole regions corresponding to the prescribed damping of the resulting closed loop system are studied. The key issue is to determine the appropriate convex approximation to the originally non-convex discrete-time system pole region, so that numerically efficient robust controller design algorithms based on Linear Matrix Inequalities (LMI) can be used. Several alternatives for relatively simple inner approximations and their corresponding LMI descriptions are presented. The developed LMI region for the prescribed damping can be arbitrarily combined with other LMI pole limitations (e.g., stability degree). Simple algorithms to calculate the matrices for LMI representation of the proposed convex pole regions are provided in a concise way. The results and their use in a robust controller design are illustrated on a case study of a laboratory magnetic levitation system.

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Servo System Using Pole-Placement with State Observer for Magnetic Levitation System

Cited by 5 publications

References 3 publications

Stability Enhancement of MLB System via Servo Approach

Stability Enhancement of MLB System via Servo Approach

Fault Tolerant Control Based on an Observer on PI Servo Design for a High-Speed Automation Machine

LMI Pole Regions for a Robust Discrete-Time Pole Placement Controller Design

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