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optimization control for 4WIS Electric Vehicle Based on the Coincidence Degree of Wheel Steering Centers

SAE INTERNATIONAL JOURNAL OF VEHICLE DYNAMICS STABILITY AND NVH 2018年第3期2卷 169-184页

作者： Zheng, Hongyu Yang, Shuo Li, Bin Jilin Univ Changchun Jilin Peoples R China Concordia Univ Montreal PQ Canada

The steering centers of four wheels for passenger car do not coincide, which may result in tire wear and the unharmoniously movement of the vehicle. In this article, an optimization control method for Four Wheel Independent Steering (4WIS) electric vehicle based on the coincidence degree of steering centers is proposed, to improve the driving performance. The nonlinear vehicle model of the four-wheel independent steering vehicle is established, and the formula of the wheel steering center is derived. The coincidence degree of wheel steering centers is defined as the evaluation index, to describe and evaluate the performance of the coordination for wheels' movement. Meanwhile, the structure design of 4WIS system and the establishment of Direct-Current (DC) steering motor model are carried out, and the Model Predictive control (MPC) controller for steering actuator is designed. The coincidence degree and related performance index for 4WIS vehicle steering system are performed as the optimization target for vehicles to achieve the optimal control by neural network predictive control algorithm. Simulations based on high-fidelity CarSim model show the effectiveness of the control approach.

关键词： Four wheel independent steering optimization control Nonlinear vehicle model Model predictive control controller

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optimization control based on hierarchical coordination for a space-based telescope - art. no. 66241F

Optimization control based on hierarchical coordination for ...

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International Conference on Photoelectronic Detection and Imaging

作者： Guo Baiwei Liu Zaozhen Beijing Inst Technol Sch Aerosp Sci & Engn Beijing 100081 Peoples R China

ISBN: (纸本)9780819467669

The performance of a space-based telescope with a segmented primary mirror is seriously decreased due to thermal deformation of its optical components, deployment procedure, and manufacturing procedure. To achieve diffraction-limited imagery, the telescope usually has multiple wave-front correctors, such as deformable primary mirror segments and a MEMS mirror. A control archtecuture of hierarchical coordination is established for such a space-based telescope in this papar. The initial wave-front errors are decomposed by wavelet transformation, then low-frequency errors are corrected by the primary mirror segment, and high-frequency errors are corrected by the MEMS mirror. A simple coordination control method and an optimization control method are applied to diliver the wave-front errors to the two corrctors. The simulation results show the optimization control can result in better correction effect.

关键词： space-based telescope optimization control wave-front correction hierarchical coordination

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optimization control for the Efficiency of an On-board Hybrid Energy Storage System in Tramway Based on Fuzzy control 11

Optimization Control for the Efficiency of an On-board Hybri...

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11th IEEE International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG)

作者： Lin, Hongtao Jiang, Jiuchun Wei, Shaoyuan Cheng, Long Beijing Jiaotong Univ Natl Act Distribut Network Technol Res Ctr Beijing 100044 Peoples R China

ISBN: (纸本)9781509049646

The rapid development of rail transit brings a great increment of electricity, in order to reduce the energy consumption and the operating cost, energy storage technology has become a hot focus in the field of rail transit. In this paper, the power loss model of hybrid energy storage system (HESS) is established from the point of efficiency improving, which includes the loss of lithium-ion battery, ultracapacitor and bidirectional DC/DC converter. In order to make the best use of HESS, an optimal equation with two objectives including the minimization of power loss and the stable operation of energy storage elements, is derived. Moreover, an efficiency optimization method with adaptive adjustment of weight coefficients is proposed after fuzzy processing. Simulation results carried out on Matlab show that compared with the threshold power management strategy, the total power loss of the HESS can be effectively reduced and the energy efficiency in a single scale tramway can be increased by the proposed control strategy.

关键词： rail transit optimization control hybrid energy storage system fuzzy control

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optimization control of Large-Capacity High-Speed Flywheel Energy Storage Systems

Optimization Control of Large-Capacity High-Speed Flywheel E...

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3rd International Symposium on Computer, Consumer and control (IS3C)

作者： Yuan, Huawei Jiang, Xinjian Wang, Qiunan Li, Junxian Tsinghua Univ Dept Elect Engn Beijing 100084 Peoples R China State Grid Qinghai Elect Power Co Econ Res Inst Xining 810008 Peoples R China

ISBN: (纸本)9781509030712

As a core component of the flywheel energy storage system (FESS), the electrical motor drives the flywheel rotor to accelerate during the charging status and to decelerate during the discharging status. Generally, the permanent magnet synchronous motor (PMSM) or the brushless DC motor (BLDCM) is chosen as the electrical motor of the FESS due to its high power factor and low heat production of the rotor. However, both the PMSM and the BLDCM have high standby loss including eddy-current loss and magnetic hysteresis loss, which undermines the system's efficiency. By contrast, the synchronous motor (SynM) has the adjustable rotor flux and is capable of mitigating the standby loss by decreasing its excitation current during the idle time. Therefore, the SynM is more efficient in the application of the FESS. In large-capacity highspeed applications of the FESS, an effective control strategy is required to exploit its power capacity sufficiently. In this paper, the traditional vector control strategy is theoretically proven to be inappropriate, and an optimization control strategy based on flux weakening is proposed to implement the high power and the fast dynamic response. The proposal is verified by simulations.

关键词： synchronous motor optimization control flywheel energy storage large-capacity high-speed flux weakening

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optimization control of LVRT for FESRWT Based on Improved NSGA-II

Optimization Control of LVRT for FESRWT Based on Improved NS...

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Chinese Automation Congress (CAC)

作者： Li, Xiaoqing Dong, Haiying Li, Mingxue Sun, Zhiqiang Lanzhou JiaoTong Univ Sch Automat & Elect Engn Lanzhou Peoples R China Lanzhou JiaoTong Univ Sch New Energy & Power Engn Lanzhou Peoples R China Lanzhou Univ Technol Sch Energy & Power Engn Lanzhou Peoples R China Lanzhou JiaoTong Univ Inst Railway Technol Lanzhou Peoples R China

ISBN: (纸本)9781728140940

Aiming at the low voltage ride through (LVRT) problem of front-end speed regulation wind turbine (FESRWT), an optimal control strategy based on improved NSGA-II is put forward to change pitch angle, guide vane opening and excitation current. In this strategy, the reverse learning mechanism is used to the initialization process, crossover and mutation probabilities are dynamically adjusted based on exponential distribution. The objective function is established with the minimum active power fluctuation and the constant generator terminal voltage as the control objectives. The improved algorithm proposed in this paper is used to optimize the three control parameters of the FESRWT: pitch angle, vane opening and exciting current. The control strategy verification analysis of a 2MW FESRWT was conducted. The simulation results show that the proposed optimal control strategy can make the FESRWT provide large reactive current during the fault period, support grid voltage and meet the technical requirements of wind power access to power system.

关键词： front-end speed regulation wind turbine low voltage ride through reactive power support optimization control

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optimization control of SBR Wastewater Treatment Process Based on Pattern Recognition

Optimization Control of SBR Wastewater Treatment Process Bas...

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3rd International Conference on Environmental Science and Information Application Technology (ESIAT)

作者： Fan, Liping Xie, Ying Shenyang Univ Chem Technol Coll Informat Engn Shenyang 110142 Peoples R China Shenyang Univ Technol & Engn Coll Shenyang 110112 Peoples R China

Water environment pollution has become a major environmental problem recently. It is an urgent task for mankind to improve the wastewater treatment efficiency. Using optimization control technology to wastewater treatment processes can help to reduce the operating cost, increase treatment rate, and therefore improve water environment quality. Pattern recognition is used in this paper to control the process of biological nitrogen and phosphorus removal in SBR. In this way the duration of each reaction phase is limited to the time exactly necessary for the actual loading conditions. Simulation results show that the cycle of wastewater treatment process can be significantly shortened while the effluent can comply with the integrated wastewater discharge standard. As a result, the process operation is more efficient and the energy consumption is reduced. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Conference ESIAT2011 Organization Committee.

关键词： Wastewater treatment optimization control pattern recognition

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An Improved Dynamic optimization control System for the Drilling Rate of Penetration (ROP) and Its Industrial Application

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IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 2023年第6期70卷 6201-6208页

作者： Gan, Chao Cao, Wei-Hua Wang, Lu-Zhao Liu, Kang-Zhi Wu, Min China Univ Geosci Sch Automation Wuhan 430074 Peoples R China Key Lab Adv Control & Intelligent Automation Compl Wuhan 430074 Peoples R China Minist Educ Engn Res Ctr Intelligent Technol Geoexplorat Wuhan 430074 Peoples R China No 3 Explorat Inst Geol & Mineral Resources Shando Yantai 264000 Peoples R China Chiba Univ Dept Elect & Elec tron Engn Chiba 2638522 Japan

optimization control of the rate of penetration (ROP) is crucial in the drilling process, due to its vital role in improving the drilling efficiency and safety. In this article, an improved dynamic optimization control system for ROP is proposed and successfully applied to a drilling site. First, a three layers (i.e., intelligent optimization layer, basic automation layer, and process monitoring layer) system framework is proposed according to the drilling characteristics. After that, "if-then " strategy is used as the method to identify the rotary drilling condition from four different working conditions. A moving window strategy is selected to establish the dynamic ROP model that can better adapt to environmental changes. Moreover, a Jaya algorithm, a new meta-heuristic optimization method, is introduced to solve the dynamic ROP optimization issue. In the simulations, the optimization performance of the proposed system is better than the moving window-extreme learning machine-hybrid bat algorithm with more stable (fewer switch times) drilling operational parameters. Finally, in an industrial application to a drilling process in Dandong area, Northeast China, the ROP is improved by 20.79% compared with manual operation. Both simulation and industrial application results indicate that the proposed system has significantly improved the drilling efficiency and safety.

关键词： Drilling optimization optimization methods Heuristic algorithms control systems Automation Employee welfare Drilling efficiency drilling process dynamic optimization optimization control rate of penetration (ROP)

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On-board real-time optimization control for turbofan engine thrust under flight emergency condition

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PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND control ENGINEERING 2017年第7期231卷 554-566页

作者： Zheng, Qiangang Miao, Lizhen Zhang, Haibo Ye, Zhifeng Nanjing Univ Aeronaut & Astronaut Coll Energy & Power Engn Nanjing 210016 Jiangsu Peoples R China

A real-time optimization control method is proposed to enhance engine thrust response and enlarge its maximum thrust during emergent flight. This real-time optimization control is model based, and the on-board engine predictive model is devised by a multi-input multi-output recursive reduced least squares support vector regression method. Two emergency engine control modes during engine emergent acceleration process, the overthrust mode and the faster response mode, are redesigned by specifying relative objective function with engine operation constraints. Namely, the overthrust mode is for getting much bigger maximum thrust, and the faster response mode is for obtaining faster engine response. In the initial engine acceleration stage, the two modes have the same objective function for fastest thrust response within necessary operation constraints. After that, the objective function varies to maximum thrust in the overthrust mode, whereas the faster response mode keeps the objective for fastest response unchanged. For solving the online optimization problem, a feasible sequential quadratic programming algorithm is utilized here. The simulation results demonstrate that, first, engine response ability can be improved in faster response mode. Second, not only more thrust was provided over the maximum value but also fast response ability was achieved in the overthrust mode. Moreover, compared to conventional operation nowadays, argumentation of compressor guided vane angle control and broadening operation restrictions were deeply studied and verified in the new schemes.

关键词： Turbofan engine faster response mode overthrust mode optimization control real time support vector regression

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Data-Driven Distributed Diagnosis and optimization control for Cascaded Systems

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IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS 2024年第5期54卷 3001-3010页

作者： Wang, Hao Luo, Hao Jiang, Yuchen Kaynak, Okyay Harbin Inst Technol Dept Control & Simulat Ctr Harbin 150001 Peoples R China Bogazici Univ Dept Elect & Elect Engn TR-34342 Istanbul Turkiye

Due to limitations in large-area communication and computation, it can be challenging to apply centralized diagnosis and optimization control design approaches to cascaded systems. This work proposes a distributed diagnosis and optimization control approach, which is realized using data-driven techniques. Specifically, an adaptive observer-based subdiagnosis system design approach is proposed for cascaded systems using only the local input/output (I/O) data and the state estimations of adjacent subsystems. The state estimations from neighboring subsystems are treated as known inputs in the local subsystem. In the centralized design approach, the residual signals generated by all subsystem observers need to be sent to the central computing node to reconstruct controller parameters. The learning process of the local optimization controller only needs to be driven by the residual signals from local and adjacent subsystems, avoiding centralized calculation and reducing the computational burden of the central node. The learning process of the locally optimal controller only needs to be driven by residual signals from the local and neighboring subsystems. In the end, the simulation results verify the effectiveness of the proposed distributed approach.

关键词： Cascaded systems data-driven distributed diagnosis optimization control

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CLFs-based optimization control for a class of constrained visual servoing systems

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ISA TRANSACTIONS 2017年 67卷 507-514页

作者： Song, Xiulan Fu Miaomiao Zhejiang Univ Technol Coll Informat Engn Hangzhou 310023 Zhejiang Peoples R China Zhejiang Prov Key Lab Commun Networks & Applicat Hangzhou 310023 Zhejiang Peoples R China

In this paper, we use the control Lyapunov function (CLF) technique to present an optimized visual servo control method for constrained eye-in-hand robot visual servoing systems. With the knowledge of camera intrinsic parameters and depth of target changes, visual servo control laws (i.e. translation speed) with adjustable parameters are derived by image point features and some known CLF of the visual servoing system. The Fibonacci method is employed to online compute the optimal value of those adjustable parameters, which yields an optimized control law to satisfy constraints of the visual servoing system. The Lyapunov's theorem and the properties of CLF are used to establish stability of the constrained visual servoing system in the closed-loop with the optimized control law. One merit of the presented method is that there is no requirement of online calculating the pseudo-inverse of the image Jacobian's matrix and the homography matrix. Simulation and experimental results illustrated the effectiveness of the method proposed here. (C) 2016 ISA. Published by Elsevier Ltd. All rights reserved.

关键词： Visual servo control Constrained control optimization control control Lyapunov functions Fibonacci method

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