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Frequency control strategy of multi-area hybrid power system based on frequency division and sliding mode algorithm

IET GENERATION TRANSMISSION & DISTRIBUTION 2019年第7期13卷 1145-1152页

作者： Mi, Yang He, Xingtang Hao, Xuezhi Li, Zhenkun Fu, Yang Wang, Chengshan Wang, Jianhui Shanghai Univ Elect Power Sch Elect Engn Shanghai Peoples R China State Grid Shanghai Jinshan Elect Power Supply Co Shanghai Peoples R China Tianjin Univ Minist Educ Key Lab Smart Grid Tianjin Peoples R China Southern Methodist Univ Dept Elect Engn Dallas TX 75275 USA

For renewable energy penetration, a frequency control strategy is proposed to assure the multi-area hybrid power system stable operation. The load frequency control (LFC) and the battery energy storage system (BESS) are used together to design the frequency control strategy. Furthermore, in order to improve the control accuracy and reduce the battery capacity, the area control error and active power disturbance are divided into low-frequency components and high-frequency components. Therefore, LFC is designed by using sliding mode algorithm for the low-frequency deviation and BESS is adjusted by using the designed disturbance observer for the high-frequency disturbance. Finally, the effectiveness of the proposed frequency control strategy is proved by the real-time digital simulator which can optimise the frequency quality and reduces the capacity of the BESS.

关键词： observers energy storage battery storage plants hybrid power systems frequency control load regulation power generation control variable structure systems power system stability frequency control strategy frequency division sliding mode algorithm multiarea hybrid power system stable operation load frequency control battery energy storage system area control error low-frequency components high-frequency components low-frequency deviation high-frequency disturbance frequency quality renewable energy penetration battery capacity active power disturbance disturbance observer

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sliding-mode controller and algorithm for improving servo control of discharge gap in precise fast hole EDM

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INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 2019年第5-6期105卷 2689-2698页

作者： Liang, Wei Tong, Hao Li, Yong Li, Baoquan Kong, Quancun Tsinghua Univ Dept Mech Engn Beijing Key Lab Precis Ultraprecis Mfg Equipments Beijing 100084 Peoples R China Tsinghua Univ State Key Lab Tribol Beijing 100084 Peoples R China Wuxi Micro Res Precise Machinery Technol Co Ltd Wuxi 214072 Jiangsu Peoples R China

Fast hole electrical discharge machining (EDM) is widely used in drilling circular holes with sub-millimeter diameters on metal alloy materials. As a kind of non-contact machining process, the discharge gap between tool electrode and workpiece significantly affects the machining efficiency. Ordinarily, this process can achieve high machining efficiency based on large discharge energy and high pressure inner flush. However, in case of demanding high shape precision and surface quality, such as film cooling holes, the discharge energy needs to be reduced. Thus the electrode wear ratio is increased and the removal of machining debris becomes more difficult. Consequently, the control of discharge gap gets hard and then the machining efficiency is significantly decreased. In this research, a nonlinear velocity controller based on sliding mode control (SMC) method is proposed to improve servo control of discharge gap in precise fast hole EDM. The dynamic model of fast hole EDM is firstly established to provide the physical basis for the controller design. Then a sliding mode algorithm is designed based on Lyapunov stability theory to improve the anti-interference of the control system, and the dynamic characteristics are analyzed through simulations based on the state equation and control algorithm. Furthermore, the performance of the proposed method is discussed by comparing the tool electrode movement, gap average voltage and utilization ratio of pulses measured in experiments. The experimental results showed that the proposed method can increase machining efficiency by 38.1%.

关键词： Precise fast hole EDM Discharge gap control sliding mode algorithm Machining efficiency

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Researches on Magnetostrictive Hybrid Vibration Isolation System Based on sliding mode algorithm

Researches on Magnetostrictive Hybrid Vibration Isolation Sy...

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8th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)

作者： Yang, Lihua Lou, Jingjun Zhu, Shijian Naval Univ Engn Coll Power Engn Wuhan 430033 Peoples R China

ISBN: (纸本)9783642549243;9783642549236

There is a little deficiency of passive vibration isolation system for mechanical equipment in the low frequency, based on the GMA and sliding mode algorithm. The model of magnetostrictive hybrid vibration isolation system (MHVIS) is proposed with the combination of intelligent magnetostrictive materials, passive vibration and active control. Numerical simulation results show that the MHVIS can quickly improve system response speed, broaden vibration frequencies and effectively decrease the force transmitted to foundation with a good control performance.

关键词： Passive vibration isolation GMA Active control sliding mode algorithm Hybrid vibration isolation

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Expected position and attitude adjustment control method of coal mine roadway support robot

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JOURNAL OF FIELD ROBOTICS 2023年第5期40卷 1187-1208页

作者： Chen, Hongyue Chen, Hongyan Ma, Ying Xu, Yajun Zhang, Desheng Liaoning Tech Univ Sch Mech Engn Fuxing Peoples R China Tiandi Sci & Technol Co Ltd Beijing Peoples R China

This paper proposes an expected position-attitude adjustment control method of coal mine roadway support robot (CMRSR) based on a real-time position-attitude detection system. Taking advantage of lateral adjustment mechanism and control method, the CMRSR has flexible maneuverability and high dynamic expected position-attitude adjustment performance. It can guarantee stability and safety of the relative position-attitude in time-varying roadway environment in underground coal mines. First, the structural characteristics, hydraulic system characteristics, and kinematic characteristics of the CMRSR are considered, and the spatial mathematical relationship model on position-attitude parameters and sensor data information, roadway environment dimensions, and CMRSR structural dimensions are established. In addition, the real-time position-attitude of the CMRSR with respect to the roadway is recognized by the position-attitude detection system. Then, according to real-time roadway environment and relative position-attitude, the expected position-attitude parameters are set, and the adjustment parameters and types of each lateral hydraulic cylinder are selected based on different deviated position-attitude conditions. A position-attitude adjustment controller is designed based on the sliding mode variable structure control algorithm to achieve precise position-attitude adjustment of the CMRSR. In addition, the position-attitude detection system is used to provide feedback control to maintain the relative position-attitude of the CMRSR. Finally, the practical performance illustrates high effectiveness and feasibility of the proposed control method. The average error of distance can be controlled within +/- 30 mm, the average error of angle can be controlled within +/- 0.5 degrees, and the adjustment time can be controlled within 20 s.

关键词： advance hydraulic support coal mine roadway support robot field robot mining mobile robot position-attitude adjustment control sliding mode algorithm

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Improve methanol efficiency for direct methanol fuel cell system via investigation and control of optimal operating methanol concentration

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ENERGY 2024年 290卷

作者： Chi, Xuncheng Chen, Fengxiang Mo, Tiande Li, Yu Wei, Wei Tongji Univ Sch Automot Studies Shanghai 201804 Peoples R China Hong Kong Prod Council Hong Kong 999077 Peoples R China CAS &M Zhangjiagang New Energy Technol Co Ltd Zhangjiagang 215600 Peoples R China Shanghai Alcplus Energy Technol Co Ltd Shanghai 201600 Peoples R China

This study investigates and controls the optimal operating methanol concentration for direct methanol fuel cell (DMFC) system, which effectively improves the efficiency of DMFC system. Firstly, a DMFC output characteristic model and a nonlinear stack methanol concentration model were established. Moreover, an adaptive observer was developed to reconstruct unmeasurable stack methanol concentration to estimate methanol concentration. Then, in order to achieve the minimum methanol consumption under required power, the reference methanol concentration was determined by analyzing DMFC system with its maximum energy conversion efficiency. Finally, the sliding mode algorithm was adopted to track reference optimal methanol concentration. The estimated performance of adaptive observer and non-adaptive observer for methanol concentration was compared through experimental bench data. Furthermore, the methanol consumption and energy conversion efficiency under proposed optimal methanol concentration strategy and fixed methanol concentration were compared. The comprehensive result demonstrates that the adaptive observer has better performance than non-adaptive observer in terms of estimated performance. Moreover, the proposed strategy for optimal methanol concentra-tion was compared with fixed methanol concentration of 0.3 mol/L and 0.4 mol/L, and the fuel consumption of DMFC system was reduced by 7.9% and 30.9% respectively.

关键词： Direct methanol fuel cell (DMFC) Methanol concentration Adaptive observer Methanol efficiency sliding mode algorithm

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Robot manipulator active fault-tolerant control using a machine learning-based automated robust hybrid observer

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JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2020年第5期39卷 6443-6463页

作者： Piltan, Farzin Prosvirin, Alexander E. Kim, Jong-Myon Univ Ulsan Dept Elect Elect & Comp Engn Ulsan South Korea Univ Ulsan Sch IT Convergence Ulsan 680479 South Korea

Robotic manipulators represent a class of nonlinear and multiple-degrees-of-freedom robots that have pronounced coupling effects and can be used in various applications. The challenge of understanding complexity in a system's dynamic behavior, coupling effects, and sources of uncertainty presents substantial challenges regarding fault estimation, detection, identification, and tolerant-control (FEDIT) in a robot manipulator. Thus, a proposed active fault-tolerant control algorithm, based on an adaptive modern sliding mode observer, is represented. Due to the effect of the system's complexities and uncertainties for fault estimation, detection, and identification (FEDI), a sliding mode observer (SMO) is proposed. To address the sliding mode observer drawbacks for FEDI such as high-frequency oscillation (chattering) and fault estimation accuracy, the modern (T-S fuzzy higher order) technique is represented. In addition, the adaptive technique is applied to the modern sliding mode observer (MSMO) to self-tune the coefficients of the fault estimation observer to increase the reliability and robustness of decision-making for diagnosis of the fault. Next, the residual delivered by the adaptive MSMO (AMSMO) is split into windows, and each window is characterized by a numerical parameter. Finally, the machine learning technique known as a decision tree adaptively derives the threshold values that are used for problems of fault detection and fault identification in this work. Due to control of the effective fault, a surface automated new sliding mode controller (SANSMC) is presented in this work. To address the challenge of chattering and unlimited uncertainties (faults), the AMSMO is applied to the sliding mode controller (SMC). In addition, the surface-automated technique is used to fine-tune the surface coefficient to reduce the chattering and faults in the robot manipulator. The results show that the machine learning-based automated robust hybrid observer significantly i

关键词： Robot manipulator sliding mode algorithm observation technique fuzzy logic technique high-order sliding mode observer adaptive technique fault estimation fault detection fault identification fault-tolerant control

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Study on active vibration isolation system using neural network sliding mode control

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JOURNAL OF VIBROENGINEERING 2017年第8期19卷 6094-6104页

作者： Yang, Lihua Su, Kai Liu, Shuyong Wu, Haiping Li, Haifeng Navy Submarine Acad Power Control Dept Qingdao 266042 Peoples R China Naval Univ Engn Dept Equipment Econ & Management Wuhan 430033 Hubei Peoples R China Naval Univ Engn Coll Power Engn Wuhan 430033 Hubei Peoples R China

In this paper, an active vibration isolation system based on hybrid algorithm is presented in a wide frequency band. Initially, a nonlinear magnetostrictive actuator model is used to establish the appropriate parameters by experiments, which make the actuator using in vibration isolation system work in a better linear dynamic performance, then the sliding mode algorithm modified by neural network, a hybrid algorithm is proposed as the active control controller, and its stability is also analyzed by Lyapunov theory. Furthermore, a dynamic virtual prototype model of active vibration isolation is established to carry out the co-simulation with Adams and Matlab/Simulink, and the results show that under the difference excitations, the neural network sliding mode controller exhibits a good control performance, and the active vibration isolation can effectively improve the vibration isolation effect, reduce the force transmitted to the base and broaden the vibration isolation bandwidth.

关键词： passive vibration isolation magnetostrictive actuator sliding mode algorithm neural network co-simulation

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Identification of nonlinear aeroelastic system using fuzzy wavelet neural network

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NEUROCOMPUTING 2016年 214卷 935-943页

作者： Dou, Liqian Ji, Ran Gao, Jingqi Tianjin Univ Sch Elect Engn & Automat Tianjin Peoples R China

This paper presents a novel fuzzy wavelet neural network structure to identify the nonlinear uncertain aeroelastic system. The identified aeroelastic system considers stiffness, damping non-linearity, dead zones and uncertainties. The proposed fuzzy wavelet neural network (FWNN) is developed from the interval type-2 fuzzy logic system which has the advantage to model uncertainties. Additionally, taking the rapidity and accuracy of the identification into account, the system is characterized by a set of fuzzy IF-THEN rules, and the consequent parts of which is designed to be single hidden layer wavelet neural network. And then, the sliding mode algorithm based on Lyapunov stability theory is introduced to obtain parameter update rules. Furthermore, numerical simulation for a structurally nonlinear prototypical two-dimensional wing section is investigated to verify the effectiveness of the proposed method. (C) 2016 Elsevier B.V. All rights reserved.

关键词： Nonlinear aeroelastic system Fuzzy wavelet neural network sliding mode algorithm Lyapunov stability theory

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Researches on Nonlinear Hybrid Vibration Isolation System

Researches on Nonlinear Hybrid Vibration Isolation System

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4th International Conference on Computing, Control and Industrial Engineering (CCIE 2013)

作者： Hua, Yang Li Jun, Lou Jing Jian, Zhu Shi Naval Univ Engn Coll Naval Architecture & Power Wuhan Peoples R China

ISBN: (纸本)9783037858813

In this paper, the dynamics of nonlinear hybrid vibration isolation system is carried out for a qualitative analysis, based on the algorithm of synovial variable structure the control model of hybrid vibration isolation system is designed, and then the validity of the control model is verified by relevant examples in the condition of nonlinear stiffness. Moreover, the simulation results show that: the control performance of nonlinear hybrid vibration isolation is better than passive vibration isolation and linear vibration isolation system, and the introduction of nonlinear stiffness can effectively reduce the force transmited to foundation. The control methods studied in this paper has an important guiding significance to design the nonlinear hybrid vibration isolation system in the practical engineering.

关键词： nonlinearity hybrid vibration isolation sliding mode algorithm passive vibration isolation

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sliding mode algorithm for training multilayer artificial neural networks

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ELECTRONICS LETTERS 1998年第1期34卷 97-98页

作者： Parma, GG Menezes, BR Braga, AP Dept Elect Engn BR-30161970 Belo Horizonte MG Brazil

On-line learning algorithms for artificial neural networks (ANNs) are expected to adapt network parameters in order to face new control situations. A new on-line learning algorithm, based on sliding mode control (SMC) is presented. The results show that ANN inherits some of the advantages of SMC: high speed of learning and robustness.

关键词： learning (artificial intelligence) neural nets Neural nets online learning algorithm variable structure systems artificial neural networks Neural computing techniques multilayer ANN training sliding mode algorithm

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