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Load Frequency control in Power systems via A Sampled-Data controller 37

Load Frequency Control in Power Systems via A Sampled-Data C...

引用

37th Chinese control Conference, CCC 2018

作者： Shangguau, Xing Chen He, Yong Jiang, Lin School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China University of Liverpool Brownlow Hill LiverpoolL69 3GJ United Kingdom

ISBN: (纸本)9789881563941

In modern power systems, load frequency control (LFC) scheme usually operates in the discrete mode, while the most existing LFC schemes are designed in the continuous mode, such that those LFC schemes do not work usually in their best manner in practice. In this paper, a method of state-feedback controller design of load frequency control (LFC) for one-area system is discussed in continuous-discrete mode via sampled-data control scheme. At first, the model of LFC is constructed in continuous-discrete mode by using the input delay method. Then, a new method is present to design a state-feedback controller. Finally, a case study is given to show the effectiveness and the benefits of the proposed method. © 2018 Technical Committee on control Theory, Chinese Association of Automation.

关键词： State feedback

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Load Frequency control in Power systems via A Sampled-Data controller

Load Frequency Control in Power Systems via A Sampled-Data C...

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第37届中国控制会议

作者： XingChen ShangGuan Yong He Lin Jiang School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems University of Liverpool

In modern power systems, load frequency control(LFC) scheme usually operates in the discrete mode, while the most existing LFC schemes are designed in the continuous mode, such that those LFC schemes do not work usually in their best manner in practice. In this paper, a method of state-feedback controller design of load frequency control(LFC) for one–area system is discussed in continuous-discrete mode via sampled–data control scheme. At first, the model of LFC is constructed in continuous-discrete mode by using the input delay method. Then, a new method is present to design a state–feedback ***, a case study is given to show the effectiveness and the benefits of the proposed method.

关键词： Power system Load frequency control Sampled-data control State–feedback controller

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Fast Automatic Localization of Epileptic Seizure Onset Zones Using Complex Morlet Wavelet Transform-based Singular Value Decomposition

Fast Automatic Localization of Epileptic Seizure Onset Zones...

引用

Chinese control Conference

作者： Zelin Fang Xiongbo Wan Ting Wan Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan Hubei P. R. China

A new method for localization of epileptic seizure onset zones (SOZs) is proposed, which uses the Shannon-entropy-based complex Morlet wavelet transform to extract a satisfactory time-frequency feature of high-frequency oscillations (HFOs). The singular value decomposition and the K-medoids clustering algorithm are employed to extract effective features from the redundant matrix of wavelet coefficients. A distinctive feature is to use the singular values to detect HFOs with the consideration that the singular values of HFOs are generally significantly higher than those of normal case. Based on the half-maximum method, the localization of SOZs are achieved by using the characteristics of HFOs. Comparisons show that our method provides a higher sensitivity and specificity than two existing methods do.

关键词： Hafnium oxide Clustering algorithms Feature extraction Wavelet transforms Singular value decomposition Oscillators

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Stable control of Single-Link Flexible-Joint Manipulator

Stable Control of Single-Link Flexible-Joint Manipulator

引用

Chinese control Conference (CCC)

作者： Ze Yan Xuzhi Lai Qingxin Meng Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan Hubei P. R. China

This paper presents a novel approach for stable control of a single-link flexible-joint manipulator (SLFJM). The control objective is to stabilize the SLFJM at the straight-up equilibrium position from the straight-down equilibrium position and suppress vibration by only using position measurement. First, differential homeomorphic transformation is used to equivalently convert the original system into a new handy system. Next, the new system is divided into two parts: linear and nonlinear. The nonlinear part is considered as a virtual disturbance of the linear part. Then, the Equivalent-input-disturbance-based (EID-based) control system is designed to suppress this virtual nonlinear disturbance at the zero equilibrium point. By this way, the control objective of the original system is effectively realized. Finally, the numerical results demonstrate its validity.

关键词： Manipulators Observers Vibrations Shafts State feedback

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Improved Kriging for Drilling Visualization Based on Quantum Genetic Algorithm

Improved Kriging for Drilling Visualization Based on Quantum...

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Chinese control Conference

作者： Zheng Zhang Xuzhi Lai Min Wu Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan Hubei P. R. China

To realize drilling visualization, an effective interpolation method is essential to construct three-dimensional model. Kriging is an effective interpolation method commonly used by geologists. However, the variogram model parameters in traditional Kriging have a certain subjectivity, which will influence the accuracy of interpolation. Quantum Genetic Algorithm (QGA) is introduced to optimize the variogram model parameters selection in this paper. Elevation values of boreholes are used as data sets for simulation. The results show that the proposed improved Kriging has a better prediction accuracy.

关键词： Interpolation Biological cells Genetic algorithms Quantum computing Geology Solid modeling Data models

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control Strategy Based on Iterative Method for Planar Pendubot

Control Strategy Based on Iterative Method for Planar Pendub...

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Chinese control Conference (CCC)

作者： Zixin Huang Xuzhi Lai Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan Hubei P. R. China

This paper presents a position control strategy based on the iterative method for a planar Pendubot. The control objective of the system is to move the end-point from any initial equilibrium point to a target equilibrium point. The presented method is based on the iterative steering, where a converging control law is applied repeatedly. In order to compute such a control law, the dynamic equations of the system are transformed via partial feedback linearization and nilpotent approximation. Finally, the simulation results demonstrate that the position control objective is realized by using this control strategy.

关键词： Mathematical model Iterative methods Position control Feedback linearization Manipulators Numerical models Switches

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Position control of a Planar Four-Link Underactuated Manipulator

Position Control of a Planar Four-Link Underactuated Manipul...

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Chinese control Conference (CCC)

作者： Dong Liu Xuzhi Lai Yawu Wang Xiongbo Wan Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan Hubei P. R. China

A position control strategy by employing the model reduction and the cascade transformation is proposed for a planar four-link AAPA (Active-Active-Passive-Active) underactuated manipulator in this paper. First, a dynamics model of the system is built. Next, three controllers are designed based on the Lyapunov function to control the fourth active link from any initial angle to zero while the angles of the first and second active link remain their initial values, which makes the system is reduced to a planar virtual three-link AAP (Active-Active-Passive) underactuated manipulator. Then, we obtain the new inputs of the cascade system of the planar virtual three-link AAP underactuated manipulator. Finally, we can get the controllers of the active links to realize the system position control objective. Simulation results demonstrate the validity of the proposed control strategy.

关键词： Lyapunov methods Manipulator dynamics Position control Mathematical model Transmission line matrix methods Automation

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control strategy based on differential evolution algorithm for planar second-order nonholonomic manipulator

Control strategy based on differential evolution algorithm f...

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Chinese control Conference (CCC)

作者： Yawu Wang Xuzhi Lai Pan Zhang Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan Hubei P. R. China

This paper presents a two-stage position control strategy based on the differential evolution (DE) algorithm for a planar second-order nonholonomic manipulator, which has one passive joint and this passive joint is not the first joint (planar A m PA n manipulator for short, where m ≥ 1, n ≥ 0). An offline DE algorithm is used to calculate all link target angles corresponding to the target position. According to these target angles, a Lyapunov function is constructed to design the controllers A for the control stage 1, which are used to control all active links to their target angles. According to the constraint equation of the planar A m PA n manipulator, an oscillatory trajectory is planned for the first active link based on the online DE algorithm. When the first active link tracks the oscillatory trajectory, it will back to its target angle eventually. Meantime, the passive link will be jointly controlled to its target angle eventually. Then, the other Lyapunov function is constructed to design the controllers B for the control stage 2, which are used to control the first active link tracks the target trajectory and control the remaining m+n-1 active links maintain in their target angles. Simulation results of a planar AAPA manipulator demonstrate the effectiveness of the proposed control strategy.

关键词： Position control Trajectory Angular velocity Manipulator dynamics Mathematical model Lyapunov methods

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Multi-Convolution Neural Networks-Based Deep Learning Model for Emotion Understanding

Multi-Convolution Neural Networks-Based Deep Learning Model ...

引用

Chinese control Conference

作者： Luefeng Chen Min Wu Wanjuan Su Kaoru Hirota Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Tokyo Institute of Technology Yokohama Japan

Multi-convolution neural networks-based deep learning model in combination with multimodal data for emotion understanding is proposed, in which facial expression and body gesture are used to achieve emotional states recognition for emotion understanding. It aims to understand coexistence multimodal information in human-robot interaction by using multi-convolution neural networks, where multilayer convolutions are connected in series and multiple networks are executed in parallel. Moreover, when optimizing the weights of deep neural network by traditional method, it is easy to fall into poor local optimal. To address this problem, a hybrid genetic algorithm with stochastic gradient descent is developed, which has the capacity of inherent implicit parallelism and better global optimization of genetic algorithm so that it can adaptively find the better weights of the network. And in order to speed up the convergence of the proposal, the weights optimized by stochastic gradient descent will be taken as a chromosome of genetic algorithms initial population, and it also can be used as a priori knowledge. To verify the effectiveness of the proposal, experiments on benchmark database of spontaneous emotion expressions are developed, and experimental results show that the proposal outperforms the state-of-the-art methods. Meanwhile, the preliminary application experiments are also carried out and the results indicate that the proposal can be extended to human-robot interaction.

关键词： Feature extraction Genetic algorithms Biological cells Machine learning Sociology Statistics Neural networks

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A resonant cavity based on birdcage coil for overhauser geomagnetic sensor

A resonant cavity based on birdcage coil for overhauser geom...

引用

2018 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2018

作者： Bai, Bingjie Dong, Haobin Ge, Jian Liu, Huan Zhang, Cheng Wang, Luo Institute of Geophysics and Geomatics China University of Geosciences Hubei Wuhan China School of Automation China University of Geosciences Hubei Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Hubei Wuhan China Science and Technology on Near-Surface Detection Laboratory Jiangsu Wuxi China

ISBN: (纸本)9781538622223

The resonant cavity is an important component of Overhauser magnetometer sensor. Its function is to make the working substance generate dynamic nuclear polarization effect in the sensor. An alternative design of resonant cavity based on the birdcage coil structure was proposed to make the resonant frequency in accordance with the polarization frequency of the working substance. The structure and equivalent circuit of resonant cavity were analyzed. The model of resonant cavity was established and S-parameter is calculated to verify the frequency consistency of the resonant cavity and working substance. In addition, output signal experiment and simultaneous comparison testing of sensor prototype were conducted. Overall, this design has the advantages of high performance and strong anti-interference. © 2018 IEEE.

关键词： Equivalent circuits

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