Model-based model predictive control for a direct-driven permanent magnet synchronous generator with internal and external disturbances

Li, Shengquan; Li, Juan; Yongwei, Tang; Shi, Yanqiu; Cao, Wei

doi:10.1177/0142331219878574

Cited by 26 publications

(10 citation statements)

References 48 publications

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“…In order to demonstrate the superiority of the proposed adaptive robust controller while coping with an uncertain time delay for a maglev-train system, the conventional PID (proportion integration differentiation) controller, the traditional sliding mode controller (SMC) [22][23][24][25][26][27][28], and the proposed Appl. Sci.…”

Section: Simulation Resultsmentioning

confidence: 99%

A Robust Levitation Control of Maglev Vehicles Subject to Time Delay and Disturbances: Design and Hardware Experimentation

Sun

Xie

et al. 2020

Applied Sciences

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Maglev vehicles have become a new type of transportation system with higher speed, lower noise, and commercial appeal. Magnetic-suspension systems, which have high nonlinearity and open-loop instability, are the core components of maglev vehicles. The high-performance control of maglev vehicles has been the focus of numerous studies. Encountering challenges in the levitation control of maglev vehicles in the form of uncertain time delays and disturbances is unavoidable. To cope with these problems, this study presents the design of an adaptive robust controller based on the Riccati method and sliding-mode technology, simultaneously taking into account the influence of time delays and disturbances. The asymptotic stability of the closed-loop system with the proposed control law is proved by the Lyapunov method. Control performances of the proposed controller are shown in the simulation results. Together with the consistently stabilizing outputs, the presented control approach can handle time delays and disturbances well. Finally, experiments were also implemented to examine its practical control performance of the robust levitation-control law.high-speed maglev train, as the world's first high-speed commercial maglev line, has been successfully open to traffic since December 2002, with a maximum operating speed of 431 km/h. In May 2016, the Changsha maglev line was put into trial operation and it reached the international leading level. In December 2017, Beijing's first medium-and low-speed maglev train, S1, began operations. A number of other cities and regions are also planning to introduce maglev technology. The official opening of the commercial operation line has met the basic requirements of engineering application, but there are still many technical difficulties, especially for the analysis and design of a levitation-control system.During complex working conditions and long-term passenger service, some problems occur in the levitation system that do not occur in laboratories or the short-term test-line assessments. These emerging problems seriously affect the stability and reliability of the levitation system and even cause the partial suspension-point failure of the vehicle, which affects the comfort and riding experience of the maglev train, and even hinders the application of more commercial maglev-transportation systems. These problems are closely related to the performance of the levitation-control system. In the past few decades, studies on magnetic-suspension systems have received much interest. Yan J D [6] utilized a Back Propagation (BP) neural network to adjust online parameters with a PI (proportional -integral) controller according to electromagnetic suspension acceleration and operation speed, and simulation results showed the effective suppression of electromagnetic vibration and the improvement of vehicle riding comfort. Sun [7] proposed an adaptive neural-fuzzy controller with sliding-mode technology that could achieve excellent dynamic performance under disturbance and uncertainty. He et al...

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Section: Simulation Resultsmentioning

confidence: 99%

A Robust Levitation Control of Maglev Vehicles Subject to Time Delay and Disturbances: Design and Hardware Experimentation

Sun

Xie

et al. 2020

Applied Sciences

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“…ESO with hyperbolic tangent function. The drawback of the LESO as equation (16) may be that, the large parameters of l 11 , l 12 and l 13 may introduce the large oscillatory when the estimation errorû e =û À u is large. On the other hand, the small parameters of l 11 , l 12 and l 13 may introduce the inaccuracy when the estimation error u e is small.…”

Section: Design Of Tadrcmentioning

confidence: 99%

“…Extended state observer (ESO), as the key part of ADRC, realize the system a significant robustness by estimating the total unknown including internal uncertainties and external disturbances in real time. 16 Gao 17 proposed a linear ADRC (LESO) scheme, which adopts a linear ESO (LESO) and proportional-derivative (PD) error feedback control law for easy parameter tuning. In 18 and, 19 the LESO was designed to estimate the sideslip angles.…”

Section: Introductionmentioning

confidence: 99%

A novel active disturbance rejection control with hyperbolic tangent function for path following of underactuated marine surface ships

Jia

Fan

et al. 2020

Measurement and Control

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This paper presents a TADRC method via active disturbance rejection control (ADRC) with hyperbolic tangent function for path following of underactuated surface ships with input constraint, heading rate constraint, parameters uncertainties, as well as environment disturbances. The line of sight (LOS) guidance scheme that computes the desired heading angle on basis of cross tracking error and a look ahead distance, converts path following into heading control, and also renders good helmsman behavior. Moreover, hyperbolic tangent function is introduced to modify the linear extended state observer (LESO) to design a nonlinear observer (TESO) for promoting the estimation performance of the heading, heading rate and total disturbances including parameters uncertainties and environmental disturbances. Then, the linear error feedback control is modified by a nonlinear sliding mode control scheme with hyperbolic tangent function to handle the heading rate constraint and to obtain the better control action. Furthermore, the feedback control law is embedded in a standard Quadratic Programming (QP) cost function to handle the input constraints including rudder saturation and rudder rate limit. Finally, the comparison simulation demonstrates the effectiveness of the proposed method for the underactuated ship’s path following.

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“…Model predictive technique (MPC) schemes can cope with the issues of linear and nonlinear constraints in multiobjective optimization problems. Consequently, in [7][8][9][10] apply this approach, i.e., MPC in the machine side controller (MSC). P. Kou et al [11], MPC has been utilised for battery-based wind turbine controller.…”

Section: Introductionmentioning

confidence: 99%

Maximum power point tracking control for wind turbines with battery storage system

et al. 2021

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In wind energy conversation systems (WECS), power quality and energy conversion efficiency are crucial aims of control algorithms. These two points are self-contradictory and difficult to trade off where enhancing the efficiency of conversion may also enhance instability of output signal as well. In current work, we submit a wind turbines control scheme to ensure regular power and achieve variable load requests in battery based variable speed PMGS system. In the submitted scheme, model predictive control (MPC) is joint with fuzzy logic to achieve the advantages of these two diverse approaches. The suggested controller could enhance the power reliability performance of the wind turbine. According to obtained results, the proposed topology overcomes the traditional proportional/integral (PI) model by achieving profits in the context of step-overshoot response and the measure of total harmonic-distortion of nearly 1.1 percent and 1.13 percent, respectively.

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Model-based model predictive control for a direct-driven permanent magnet synchronous generator with internal and external disturbances

Cited by 26 publications

References 48 publications

A Robust Levitation Control of Maglev Vehicles Subject to Time Delay and Disturbances: Design and Hardware Experimentation

A Robust Levitation Control of Maglev Vehicles Subject to Time Delay and Disturbances: Design and Hardware Experimentation

A novel active disturbance rejection control with hyperbolic tangent function for path following of underactuated marine surface ships

Maximum power point tracking control for wind turbines with battery storage system

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