Simulation of Linear induction Motor using Model Predictive Control in synchronously rotating reference frame
01 Jun 2016-pp 1-5
TL;DR: In this paper, the simulation of dynamic model of Linear induction motor (LIM) using Model Predictive Control (MPC) is presented, which is an optimization process that uses a cost function to minimize the error between the measured output voltage and the reference voltage.
Abstract: In this paper, the simulation of dynamic model of Linear induction Motor (LIM) using Model predictive control (MPC) is presented. Various control methods have been previously proposed for the control of three phase two level inverter. A Model Predictive Control method is a simple and powerful control scheme used for the control of voltage of a three-phase inverter. A discrete time model of the inverter, filter and the load is used by the controller to predict the behavior of the output voltage for each possible switching state. A MPC is an optimization process that uses a cost function to minimize the error between the measured output voltage and the reference voltage. Switching state of the voltage vector that gives the minimum error is selected and given to the inverter during the next sampling instant. The proposed predictive control method performance for LIM at various sampling frequencies is simulated using MATLAB/Simulink tools for Total Harmonic Distortion (THD) analysis.
Citations
More filters
Proceedings Article•
01 Jan 1986TL;DR: Two-dimensional field and finite-element analyses are complementary in evaluating the performance of single-sided linear induction machines, and can be used to develop a machine design for a given drive application as discussed by the authors.
Abstract: Two-dimensional field and finite-element analyses are complementary in evaluating the performance of single-sided linear induction machines, and can be used to develop a machine design for a given drive application. Electromagnetic analysis leads to an equivalent circuit of the machine with speed-and frequency-dependent parameters, in which top cap geometry, core hysteresis and saturation, skin effect, eddy current reaction, and both transverse-edge and longitudinal-end effects can be included. Finite-element analysis provides detailed information on the magnetic field distribution to aid in machine design.
4 citations
Peer Review•
TL;DR: In this paper , a new Model Predictive Control (MPC) of linear induction motors (LIMs) with end effect has been proposed, which considers the end effect.
Abstract: Article History: Received 28 June 2022 Reviewed 29 July 2022 Revised 01 August 2022 Accepted 22 October 2022 Background and Objectives: Linear Induction Motors (LIMs) are favorite machines utilized in various industrial applications. But, due to the end effect phenomena, control of a LIM drive is more complicated than rotational machine drives. Therefore, selecting the proper control strategy for a LIM drive has been a significant challenge for the researchers. Methods: This paper concentrates on a new Model Predictive Control (MPC) of LIM drives which considers the end effect. Accordingly, the discrete-time model of the LIM with end effect is extracted, and the required flowchart used for the MPC of LIM drive has been presented in this paper. Results: To study the effectiveness of the suggested strategy, simulation results of a LIM drive with MPC are presented and compared to the traditional Indirect Field Oriented Control (IFOC) of LIM drive. Simulations have been carried out using Matlab. The end effect has been considered in the LIM model and control strategies. Conclusion: Simulation results validate that the suggested MPC of LIM drive yields excellent dynamic characteristics such as fast speed response with no overshoot. Moreover, in comparison to the traditional IFOC method, the suggested MPC strategy offers lower current ripple and lower electromagnetic force ripple, and therefore, it is suitable for industrial drive applications.
References
More filters
TL;DR: A simple classification of the most important types of predictive control is introduced, and each one of them is explained including some application examples.
Abstract: Predictive control is a very wide class of controllers that have found rather recent application in the control of power converters. Research on this topic has been increased in the last years due to the possibilities of today's microprocessors used for the control. This paper presents the application of different predictive control methods to power electronics and drives. A simple classification of the most important types of predictive control is introduced, and each one of them is explained including some application examples. Predictive control presents several advantages that make it suitable for the control of power converters and drives. The different control schemes and applications presented in this paper illustrate the effectiveness and flexibility of predictive control.
1,389 citations
TL;DR: The results show that the predictive method controls very effectively the load current and performs very well compared with the classical solutions.
Abstract: This paper presents a predictive current control method and its application to a voltage source inverter. The method uses a discrete-time model of the system to predict the future value of the load current for all possible voltage vectors generated by the inverter. The voltage vector which minimizes a quality function is selected. The quality function used in this work evaluates the current error at the next sampling time. The performance of the proposed predictive control method is compared with hysteresis and pulsewidth modulation control. The results show that the predictive method controls very effectively the load current and performs very well compared with the classical solutions
1,387 citations
18 Nov 2008
TL;DR: In this article, a Powerpoint presentation on predictive control in power electronics and drives is presented, where the areas discussed include predictive control, power electronics, power drive, cascaded control structure, nonlinear control system, switching system, etc.
Abstract: The article consists of a Powerpoint presentation on predictive control in power electronics and drives. The areas discussed include: predictive control; power electronics; power drive; cascaded control structure; nonlinear control system; switching system; etc. etc.
1,073 citations
01 Aug 1994
TL;DR: In this paper, the authors present a detailed overview of the switching functions used in power converters, ranging from simple averaging schemes to involved methods of real-time optimization, which can be found in the literature.
Abstract: The efficient and fast control of electric power forms part of the key technologies of modern automated production It is performed using electronic power converters The converters transfer energy from a source to a controlled process in a quantized fashion, using semiconductor switches which are turned on and off at fast repetition rates The algorithms which generate the switching functions-pulsewidth-modulation techniques-are manifold They range from simple averaging schemes to involved methods of real-time optimization This paper gives an overview >
1,041 citations
TL;DR: A new and simple control scheme using predictive control for a two-level converter using a model of the system to predict the behavior of the output voltage for each possible switching state is presented.
Abstract: The use of an inverter with an output LC filter allows for generation of output sinusoidal voltages with low harmonic distortion, suitable for uninterruptible power supply systems. However, the controller design becomes more difficult. This paper presents a new and simple control scheme using predictive control for a two-level converter. The controller uses the model of the system to predict, on each sampling interval, the behavior of the output voltage for each possible switching state. Then, a cost function is used as a criterion for selecting the switching state that will be applied during the next sampling interval. In addition, an observer is used for load-current estimation, enhancing the behavior of the proposed controller without increasing the number of current sensors. Experimental results under linear and nonlinear load conditions, with a 5.5-kW prototype, are presented, verifying the feasibility and good performance of the proposed control scheme.
578 citations