Aiming at the problems of poor control performance and poor anti-interference performance of PMSM control system due to external load disturbance, model and parameter uncertainty, a composite control method of PMSM ba...
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ISBN:
(纸本)9798350321050
Aiming at the problems of poor control performance and poor anti-interference performance of PMSM control system due to external load disturbance, model and parameter uncertainty, a composite control method of PMSM based on improved model-free sliding mode control is proposed. Firstly, the ultra-local model of PMSM system without considering motor parameters is established. Then, a model-free single-loop sliding mode speed controller is designed according to the ultra-local model of the system. Furthermore, for the total disturbance of the system, a finite-time generalized proportional integral observer (FT-GPIO) is established, which can estimate the total disturbance of the system more accurately and stably, and perform feedforward compensation to update the control information in real time. Finally, compared with the traditional control method, the simulation results show that the proposed control method has good dynamic performance, anti-interference ability and steady-state control accuracy.
In this paper, we study an integral-type event-triggered model predictive control method for manipulator systems. The event-triggered mechanism, which is based on integrating the error between the actual and predicted...
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This paper investigates the problem of iterative learningcontrol in sensor/actuator networks for hyperbolic distributed parameter systems with time delays. For systems with known delays, this study firstly proposes a...
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The radial basis function network-based autoregressive (RBF-AR) model is a powerful statistical model which can be expressed as a linear combination of nonlinear functions and frequently appears in a wide range of app...
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ISBN:
(纸本)9798350321050
The radial basis function network-based autoregressive (RBF-AR) model is a powerful statistical model which can be expressed as a linear combination of nonlinear functions and frequently appears in a wide range of application fields. Variable projection algorithm is designed for solving smooth separable optimization problems with least squares form and has been used as an efficient tool for the identification of RBF-AR model. However, in real applications, the observations are usually disturbed by non-Gaussian noise or contain outliers. This often leads to nonlinear regression problems. Since there are both linear and nonlinear parameters in such problems, how to optimize such models is still challenging. In this paper, we design a robust variable projection algorithm for the identification of RBF-AR model. The proposed method takes into account the coupling of the linear and nonlinear parameters of RBF-AR model, which eliminates the linear parameters by solving a linear programming and optimizes the reduced function that only contains nonlinear parameters. Numerical results on RBF-AR model to synthetic data and real-world data confirm the effectiveness of the proposed algorithm.
This article proposes an output feedback fault-tolerant control (FTC) method to compensate for connection interruption faults and actuator faults present in interconnected systems. An intermediate estimator based faul...
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ISBN:
(纸本)9798350321050
This article proposes an output feedback fault-tolerant control (FTC) method to compensate for connection interruption faults and actuator faults present in interconnected systems. An intermediate estimator based fault reconstruction method and a decentralized FTC scheme are designed, using Kirchhoff matrix tree lemma to eliminate coupling effects between subsystems in interconnected systems. In addition, by combining the intermediate estimation algorithm and Lyapunov function method, it is proven that the global error system is uniformly ultimately bounded (UUB). This article also discusses the occurrence of connection failures and proves that our proposed method is still effective as long as at least one cycle can include all nodes. In comparison to previous results, the proposed decentralized FTC approach deals with interconnected dynamical systems that have unknown nonlinear interconnections and unreliable connections. Finally and most importantly, the rationality of the proposed FTC method has been verified using a networked chemical reactor recovery servo system.
In this paper, the problem of consensus tracking for multi-agent systems in the presence of noise inter-ference is investigated. Unlike the traditional model-based approach, this paper assumes that the dynamics of all...
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To address the problem of lifting weight sway generated by underactuated gantry cranes during operation, considering the load diversity of the portal machine and other disturbance effects, this paper proposes a contro...
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ISBN:
(纸本)9798350321050
To address the problem of lifting weight sway generated by underactuated gantry cranes during operation, considering the load diversity of the portal machine and other disturbance effects, this paper proposes a control method that does not rely on an exact model. Firstly, a simple kinematic model of the gantry cranes is established and dynamically analyzed, then a compact form dynamic linearization is performed to obtain the data model, a pseudo-partial derivative estimation law is computed online, a model-free adaptive control based gantry cranes anti-sway controller is designed, and finally a simulation analysis is performed. The simulation results show that the load swing angle amplitude is effectively suppressed and quickly dissipated, while it has strong robustness to external unknown disturbances. Compared with the PID control simulation analysis, this control algorithm has more effective anti-sway control effect and can reach the stable state faster.
This paper studies the synthesis of robust control for a satellite attitude control system without pre-knowledge of model dynamics. First, by exploring the time-series data of satellite angular velocity, a lifted disc...
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Model predictive control (MPC) has simple control structure and can achieve dynamic optimization control under constraint conditions. Due to the predictive control based on the system model, MPC has a high requirement...
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ISBN:
(纸本)9798350321050
Model predictive control (MPC) has simple control structure and can achieve dynamic optimization control under constraint conditions. Due to the predictive control based on the system model, MPC has a high requirement for the accuracy of model parameters. This paper proposes a recursive least squares method based on the mathematical model of the motor for online parameter identification of permanent magnet synchronous motor (PMSM), which addresses the issue of sudden parameter changes that affect control effectiveness during operation. Through online identification, it is possible to effectively track changes in motor parameters and obtain real-time and accurate motor models. In addition, the updated motor model can serve as a predictive model for MPC. Thus, MPC can achieve more dynamic accurate prediction. Finally, the simulation is carried out to verify the effectiveness of the method that is proposed in this paper.
A linear active disturbance rejection control (LADRC) strategy is proposed to suppress the structural vibration caused by external excitations and internal uncertainties in intelligent structures under complex working...
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ISBN:
(纸本)9798350321050
A linear active disturbance rejection control (LADRC) strategy is proposed to suppress the structural vibration caused by external excitations and internal uncertainties in intelligent structures under complex working conditions via an Anlu EG4S20B256 chip. First, the electromechanical coupling model of the whole vibration control system is obtained based on the dynamic equations of the all-clamped plate structure and the electromagnetic equations of the inertial actuator. Second, based on the system model, a third-order extended state observer (ESO) is designed to estimate the internal modelling errors and external excitation perturbations of the system in real time. In addition, the influence of internal and external disturbances on the control effect in the experiment is offset by a feedforward compensation. Finally, a vibration control platform based on the Anlu FPGA chip is built to verify the control effect of the proposed vibration active control strategy through physical real-time simulation.
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