Approximate Dual Controller by Information Matrix Maximization for Self-Sensing Electromagnetic Suspension System

The 10th International Symposium on Linear Drives for Industry Applications (LDIA 2015), Aachen, Germany, on July 27-29 2015This paper presents a design methodology to apply the approximate dual controller using the information matrix maximization for self-sensing electromagnetic suspension systems, in which the gap estimate is given based on the speed electromotive force. The system is an unstable non-minimum phase system, and we employ the dual control system. Simulations are presented to show that the dual control system follows with the reference while the electromagnet is excited to establish its quality identification for self-sensing electromagnetic levitation system

Implementation and Validation of a Simple Direct Identification Method for an Experimental Multi-Span Web Transport System

none2The industrial processes that require the use of the web require a control system which allows for preserving the properties of the web unaltered, avoiding the risk of wrinkling, tearing, breakage and other defects. This control generally takes place by detecting the tension and the speed in certain points of the system since these variables determine the stress state on the web, which, if altered beyond certain ranges, can lead to the defects mentioned above. The problem of tension and web speed control is very demanding because the system’s dynamic is a function of many process variables that often vary over a wide range. In this study, an experimental system consisting of 12 rollers, four motorised, was analysed. This system was divided into four subsystems according to the logic of decentralised control. The tension of the initial and final subsystems and the speeds of the two central subsystems were monitored. This study proposes estimating continuous-time transfer functions using experimental time-domain data. A nonlinear least-squares search-based method minimises a weighted prediction error norm for directly identifying the mathematical model used to describe the web transport system. To test the performance of the proposed strategy, experimental data were collected in an open-loop configuration with constant voltage given to the four servo motors. The collected data were subsequently processed to define an extremely simple system model composed of a very limited number of parameters representing the system through transfer functions. The model was further validated by comparing the results obtained through simulations with the experimental data obtained with different inputs, and was also validated with some closed-loop tests.openGiannoccaro N.I.; Sakamoto T.Giannoccaro, N. I.; Sakamoto, T

Decentralized Control Performances of an Experimental Web Handling System

Robust and good tracking control of the speed and the tension in web handling systems in spite of changes of set point is surely one of the important challenges in the web transport systems future development. In this paper, the authors experimentally demonstrate the real applicability of a decentralized robust control to a multi-span web transport system, which is composed of twelve guide rollers, four main sections mutually interconnected with each other. The overlapping methodology has been applied for the system decomposition. The experimental results carried out using the robust decentralized control show an excellent velocity and tension tracking in each controlled section of the system

Compensation of Magnetic Saturation of self-sensing Magnetic Levitation

This paper investigates the magnetic saturation problem of self-sensing electromagnetic levitation system and presents a novel self-sensing scheme. The proposed approach employs a demodulation technique. By superimposing a high frequency voltage, the resulting electromagnet coil currents have ripples that can be used for gap sensing. This paper shows the effect of magnetic saturation on the gap sensing and the gap length is not uniquely determined when using the relation between the ripple, control current and the gap in simulations. The results imply that the constraint conditions are to be determined to solve the problem. The proposed approach utilizes the dynamical motion model of the electromagnetic levitation system to uniquely identify the gap. By using the system behavior information, the gap can be uniquely estimated. To incorporate the dynamical model with the gap sensing algorithm, the unscented Kalman filter is employed. The proposed estimator is demonstrated in simulations. The results show that it is possible to deal with magnetic saturation by using the proposed gap sensing scheme. The estimator has a good accuracy in wide gap range compared to the conventional method.The 6th International Conference on Positioning Technology (Mechatronics and Measurement in Precision Technology) ICPT 2014, November 18-21, 2014, Kitakyushu International Conference Center, Fukuoka, Japa

Genetic Algorithm for Decentralized PI Controller Tuning of a Multi-Span Web Transport System Based on Overlapping Decomposition

The use of multi-span web transport systems often requires dedicating a particular effort for defining a control system able to protect the integrity of the web. In web handling processes there is a clear need for controlling web velocity and tension. As for any control problem, the best results are achieved when there is a clear understanding of the controlled process. Starting from a new mathematical model called Transfer Matrix Model for a more accurate description of a web transport system, an optimization study for identifying parameters of the PI controllers for a decentralized multiinput and multi-output system (MIMO) has been proposed. The possibility of using PI controllers for each section is attractive considering that an overlapping system decomposition may permit to take into account the mutual interaction of the neighbor sections reaching specified performance objectives. Finally, by using a nonlinear interpolation of the trend of a preliminary database of values obtained through genetic algorithm, a self-tuning strategy is proposed to estimate optimal PI parameters under certain conditions, avoiding the long identification process and making the system flexible and adaptive. Simulations and experimental results validate and illustrate the effectiveness and the simplicity of the proposed method by considering several different set-points.The 2017 Asian Control Conference -ASCC 2017, December 17-20, 2017, Gold Coast Convention Centre, Australi

Implementation and Validation of a Lumped Model for an Experimental Multi-Span Web Transport System

Correct modeling is necessary in order to design a better control system or to identify the plant parameters experimentally. On the web dynamics itself, lumped parameters expressions may be used to designate a web section between two adjacent drive rolls, and there is the necessity of incorporating the property of viscoelasticity to the web. Lumped model of an experimental multi-span web transport system is based on the conservation mass, torque balance and viscoelasticity. A new way for describing this kind of MIMO system has been introduced through a four by four Transfer Matrix which considers mutual interactions between inputs and outputs. Finally, comparing experimental data with Transfer Matrix parametric expressions, it has been possible to identify the system parameters and thus fully validate the effectiveness of the proposed dynamic lumped model.The 2017 Asian Control Conference -ASCC2017, December 17-20, 2017, Gold Coast Convention Centre, Australi

Adaptive PSO for Online Identification of Time-Varying Systems

SUMMARY Novel adaptive PSO (particle swarm optimization) algorithms called OPSO (online PSO) and εPSO are proposed. These algorithms are designed to prevent increasing of calculation cost in order to embed into online systems, and they have high adaptive performances to environmental changes. The efficiency of the proposed PSO algorithms are demonstrated by numerical simulation and the online identification of an actual dynamic system. © 2012 Wiley Periodicals, Inc. Electron Comm Jpn, 95(7): 10-18, 2012; Published online in Wiley Online Library (wileyonlinelibrary.com)

Levitation and Guidance Stabilization of Superconducting Maglev Vehicle using LSM Currents

Abstract—This paper shows the modeling and simulation of superconducting maglev vehicles employing a levitation and guidance assist method we have proposed. The assist system stabilizes and assists the vehicle running so that the vehicle does not need to depend on the mechanical wheels as much as possible at a lower speed. The auxiliary levitation and guidance forces are provided by controlling the LSM armature currents. The results show that the assist system produces appropriate lift and guidance forces to have a reference levitation height and sufficient guidance at low speeds under the disturbance force of lateral wind