Fuzzy sliding mode control of maglev guiding system based on feedback linearization
09 Sep 2010-Vol. 3, pp 1281-1285
TL;DR: In order to solve nonlinear problems of maglev device, feedback linearization control and fuzzy sliding mode control method is adopted to control the air gap of magnetic levitation device.
Abstract: The magnetic levitation device which has non-contact characteristics, is used to replace the traditional guiding equipment, it would be applied in linear elevator to maintain a constant air gap of linear motor, and to eliminate mechanical vibration. In order to solve nonlinear problems of maglev device, feedback linearization control and fuzzy sliding mode control method is adopted to control the air gap of magnetic levitation device. Simulation results show that the control strategy has strong robustness.
Citations
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TL;DR: A cart-type inverted pendulum is controlled using combining of two methods of approximate feedback linearization and sliding mode control, optimized by a hybrid algorithm based on the particle swarm optimization and genetic algorithm.
Abstract: In this paper, a cart-type inverted pendulum is controlled using combining of two methods of approximate feedback linearization and sliding mode control. Both position of the cart and angular posit...
20 citations
Cites methods from "Fuzzy sliding mode control of magle..."
...Feedback linearization methods are also used to simplify models for robust and adaptive techniques (Ahmed et al., 2010; Chien et al., 2010; Li et al., 2010; Liu et al., 2011; Pfeiffer and Edgar, 1999; Yazdanpanah et al., 2008; Yu et al., 2010)....
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01 Dec 2012
TL;DR: In this paper, two different PID control methods are described to control of Maglev Guiding System for Linear Elevator (MAGELESS) for a linear elevator driven by permanent magnet linear synchronous motor (PMLSM).
Abstract: In this paper, two different PID control methods are described to control of Maglev Guiding System for Linear Elevator. The linear elevator driven by permanent magnet linear synchronous motor (PMLSM) use the method to adopt the magnetic guidance system to control the PMLSM gap which changes frequently and can impact the vertical thrust and control the level vibration and noise in the process of start, operation, and stop to make passenger feel comfortable. The first PID control method is based on feedback linearization. In this method, single Maglev guiding systems are controlled to maintain the air gap of linear motor in the reference value independently. To achieve a more practical control method and better operation of maglev guiding system, this method is corrected and a simultaneous control method of two counterpart Maglev systems is proposed. MATLAB modeling of these systems are used in this paper. Simulation results show that the second method has a better performance.
4 citations
Cites methods from "Fuzzy sliding mode control of magle..."
...A PID control strategy of a single Maglev system [7, 8] is described in section 3; and...
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Dissertation•
25 May 2018
TL;DR: Two kinds of non-linear observer-based excitation controller are proposed for Maglev to ensure the stability ofNon-linear system in the presence of large disturbance and over larger operation regions.
Abstract: Active magnetic levitation AML systems have been widely used in magnetic levitation
vehicles, wind turbine, medical applications, micro robot actuation and turbo-machinery.
Contactless support of objects continues to be a fantasy for several centuries. The utilization of magnetic forces seems to be the ideal solution in many situations to such a goal.
Using magnetic forces to support an object without any mechanical contact is constrained
by the laws of magnetism. Earnshaw’s theorem states that when the inverse-square-law
forces govern several charged particles, they can never be within a stable equilibrium. The
interaction between ferromagnetic objects and electromagnets of either the active or passive type, is associated with an unstable nature. This unstable behaviour can be represented
by highly non-linear differential equations. In the literature many researches are based on
linearised models around a specific nominal operating point then linear controller is utilized to control the system. The associated problem with the linear control technique is
that the system only be adequately controlled in a small region around the equilibrium
point but the variation of operating regions in such non-linear system is wide following a
major disturbance. In this research, two kinds of non-linear observer-based excitation controller are proposed for Maglev to ensure the stability of non-linear system in the presence
of large disturbance and over larger operation regions. A combination of full-order Nonlinear high-gain observer (NHGO) with LQR-feedback linearisation is considered as first
proposal. Second proposed controller is based on the Lyapunov stability theorems, and a
further non-linear full-order observer-based controller via a non-linear fuzzy sliding mode
controller is developed for Maglev system. The proposed control approaches are tested
and validated through simulated exercises of a magnetic levitation system. Comparative
assessments of the approaches are presented and discussed through the thesis
1 citations
Cites background from "Fuzzy sliding mode control of magle..."
...However, in order to guarantee a local asymptotic stability over larger range and ensure good tracking, it is necessary to consider a nonlinear model (Al-Muthairi and Zribi, 2004; Shameli et al., 2007; Yu et al., 2010) rather 30 3.2....
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...However, in order to guarantee a local asymptotic stability over larger range and ensure good tracking, it is necessary to consider a nonlinear model (Al-Muthairi and Zribi, 2004; Shameli et al., 2007; Yu et al., 2010) rather 30...
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01 Oct 2019
TL;DR: The parallel distributed compensation technique (PDC), the modal equivalence principle and the modulus optimum method are used in the design of the suggested CCS structures.
Abstract: In this paper two cascade control system (CCS) structures designed in order to control the position of the magnetic sphere of a Magnetic levitation laboratory equipment are presented. The proposed CCS structures consist of a TP– based controller (TP–C) in the inner control loop and a Proportional Integral Fuzzy Controller (PI–FC) with integration of controller output (Fuzzy–OI–TP–CS) and a PI– FC with integration of controller input (Fuzzy–II–TP–CS) in the outer control loop, respectively. The parallel distributed compensation technique (PDC), the modal equivalence principle and the modulus optimum method are used in the design of the suggested CCS structures. The experimental results validate the proposed control solutions. Finally, a comparative analysis is also included.
Cites background from "Fuzzy sliding mode control of magle..."
...…are given in (Wiboonjaroen and Sujitjorn, 2013) [1], (Milovanovic et al., 2017) [2], (Bojan-Dragos et al., 2018) [3] and many types of fuzzy controllers applied to MagLevSysts are given in (Zhou et al., 2018) [4], (Yu et al., 2010) [5], (Wai et al., 2015) [6] and (Mahmoud et al., 2015) [7]....
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References
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01 Sep 2007
TL;DR: The aim of this work is the implementation of a feedback control for such an active magnetic guiding system for an elevator car in a simulation model and results show the feasibility of the entire elevator system.
Abstract: One major challenge in modern elevator construction is the design of systems, which satisfy the requirements of very high buildings In this sense conventional elevators with mechanical guides came to their application limitations An opportunity to optimize the passenger traffic in very high buildings and also in very deep mining applications is an elevator system driven by linear motors instead of traction sheave and ropes This system can be improved by using non-contact electromagnetic guides instead of a conventional mechanical guiding system The aim of this work is the implementation of a feedback control for such an active magnetic guiding system for an elevator car in a simulation model At first, an overview over the applied elevator system is presented Functionality of drive and guiding system is explained Afterwards, the design of the simulation model and the derivation of a multi variable state control for the elevator car guiding are shown Finally, results are presented and analyzed, which show the feasibility of the entire elevator system
26 citations
"Fuzzy sliding mode control of magle..." refers background in this paper
...For the linear elevator, the constant air gap of the linear motor is particularly important, it affects the magnitude of the propulsion force, using magnetic levitation guide shoes, by controlling its current, and the air gap of the magnetic levitation (also called the air gap of linear motor) is controlled [4-6]....
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TL;DR: Force decoupling, transformation from local to global quantities, and simulation results of the entire system are presented and measurement results validate the design process of both the electromagnetic actuators and feedback control.
Abstract: This paper describes the design of an electromagnetic elevator guiding system. One challenge of this design is the overdetermination of the mechanical system due to its high number of adjustment variables. Force decoupling, transformation from local to global quantities, and simulation results of the entire system are presented. In contrast to former works, a new elevator test bench for the evaluation of the simulation results is introduced. Measurement results validate the design process of both the electromagnetic actuators and feedback control.
20 citations
"Fuzzy sliding mode control of magle..." refers background in this paper
...For the linear elevator, the constant air gap of the linear motor is particularly important, it affects the magnitude of the propulsion force, using magnetic levitation guide shoes, by controlling its current, and the air gap of the magnetic levitation (also called the air gap of linear motor) is controlled [4-6]....
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05 Sep 1994
TL;DR: In this paper, a new attitude control system of a super-high speed elevator car based on magnetic guides is described, which is based on a magnetic guide controlling the attractive power between the guide rails and electro-magnets fixed to the elevator car frame.
Abstract: This paper describes a new attitude control system of a super-high speed elevator car based on magnetic guides. Using a conventional roller guide system for attitude control of a super-high speed elevator car (810 m/min class) will result in serious horizontal vibration caused by the winding guide rails which are installed in the hoist way to guide the elevator car. The new control system proposed realizes acceleration control to suppress the car vibration at high speed running. The system is based on a magnetic guide controlling the attractive power between the guide rails and electro-magnets which are fixed to the elevator car frame. The effectiveness of the proposed method is confirmed by computer simulation and experimental results obtained using full scale equivalent testing equipment. >
16 citations
"Fuzzy sliding mode control of magle..." refers background in this paper
...The improved noncontact guiding equipment can get higher comfort by weakening the audible noise and controlling the oriented stiffness [1-3]....
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TL;DR: A new method that simplifies control electronics, based on repeatedly solving the governing system equations in approximations that are valid for the next 20 to 40 ms, is explored.
Abstract: The classical approach to gap control in active magnetic bearings-including those in magnetic levitation (maglev) systems-is proportional-integral-derivative (pid) based current correction. This paper explores a new method that simplifies control electronics, based on repeatedly solving the governing system equations in approximations that are valid for the next 20 to 40 ms. The method simplifies the magnetic forces by using a Taylor approximation, one that can be evaluated rapidly by using multivariate splines. The simplified equations of motion are solved by the method of Frobenius. These simplified solutions are inverted to predict the voltage necessary to achieve a desired gap change in a specified time increment. Variations from this target position allow for an update on inertia and mass of the levitated object.
15 citations
"Fuzzy sliding mode control of magle..." refers background in this paper
...The improved noncontact guiding equipment can get higher comfort by weakening the audible noise and controlling the oriented stiffness [1-3]....
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01 Sep 2008
TL;DR: The design of a state controller for an electromagnetic elevator guiding system, the transformation of local and global quantities, and simulation results of the entire system are presented.
Abstract: This paper describes the design of a state controller for an electromagnetic elevator guiding system. One challenge of this design is the over-determination of the mechanical system due to its high number of adjustment variables. Force decoupling, the transformation of local and global quantities, and simulation results of the entire system are presented in this paper.
13 citations
"Fuzzy sliding mode control of magle..." refers background in this paper
...For the linear elevator, the constant air gap of the linear motor is particularly important, it affects the magnitude of the propulsion force, using magnetic levitation guide shoes, by controlling its current, and the air gap of the magnetic levitation (also called the air gap of linear motor) is controlled [4-6]....
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