The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Conventional model-predictive control (MPC) achieves good steady-state performance and quick dynamic response. However, a lot of calculations are needed when deciding the best voltage and objective function selected process needs time-consuming tuning work. To solve these problems. In this paper, the objective function of predictive control is analyzed for asynchronous AC motor. By means of mathematical...
Model predictive control (MPC) represents a powerful technique for controlling a system that has an accurate mathematical model for describing its behavior. MPC implies solving an optimization problem (OP) in order to minimize some user defined objective function (OF) subjected to constraints on the characteristic variables. This paper presents a real-time implementation of a nonlinear MPC on a twin...
Due to the execution delay of the control signal caused by digital controller, there is one sampling time delay between the required optimal switching state and the executed switching state under the conventional model predictive controlled (MPC) systems, which lowers the system performance. In this paper, a two-step model predictive control (TS-MPC) strategy is proposed for a dual induction motor...
This paper proposes a new design of a fuzzy predictive controller for collective pitching of large wind turbines. Collective pitch controllers operate in region three to harvest the rated power and maintain the rated speed. The wind turbine model is represented by a Takagi-Sugeno (T-S) fuzzy model. A model predictive collective pitch controller is designed based on the fuzzy model taking into consideration...
The current control problem of permanent magnet synchronous machine (PMSM) drives is a challenging problem which has to deal with quadratic and linear constraints and tight time constraint. The goal of this paper is to provide a controller synthesis method that can deal with these challenges effectively by developing an explicit predictive current control of PMSM drives. The objective is to adjust...
The aim of this paper is a design of a linear state controller of the PMSM drive. Popular generalized predictive control (GPC) approach can yield a simple controller, however it has difficulty with meeting hard constraints that are imposed on the drive (specifically, the drive must secure powerful limitation of motor current and keeps demand for ultimate drive dynamics). We propose to resolve this...
This paper deals with model predictive control (MPC) of wind turbines with doubly fed induction generator (DFIG). MPC is applied to the blade speed control, which aims at maximum power extraction from the wind. An MPC controller uses the future prediction of wind speed, and the performance improvement by this preview action is investigated through numerical simulation.
Small unmanned helicopters are suitable for a variety of applications including search and rescue, surveillance, communications, traffic monitoring as well as inspection of buildings, power lines and bridges. This paper presents an on-line, model-based, real-time autonomous autorotation controller, tailored for small helicopters. The approach selected is based on non-linear model-predictive control...
Turbofan engine starting is one of the most important procedures during the whole process of job, but also very complicated due to its nonlinear dynamic working procedure. Recognizing the weaknesses of predict model and traditional algorithm for rolling optimization to deal with strong nonlinear systems, this paper presents neural network model predictive control method with genetic algorithm optimization,...
The paper presents the design of a model-based predictive current controller (MPC) for induction motor (IM) drive application. Using an input-output linearized model, a systematic design of the long-range predictive current controllers is introduced. The resulting explicit MPC controller achieves the same performance like classical MPC, but with less computational effort, offering the possibility...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.