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Optimal Scheduling of Variable-pressure Variable-flow Operation of Inverter-drive Pumps Connected in Parallel

Li Hongbin,Zhang Chenghui,Song Jun

Strategic Study of CAE 2001, Volume 3, Issue 9,   Pages 52-57

Abstract:

The paper analyzes common methods for the optimal scheduling modeling problem of variable-pressure variable-flow operation of inverter-drive pumps connected in parallel and compares the merits and defects of them. In the common method, the objective function is the shaft horsepower of the pumps and the constrained conditions are water supply target and high-efficiency area of pumps. In another method, the objective function is the square of the difference between the actual and needed flow when satisfying the lift target and the constrained conditions are high-efficiency areas of pumps. The paper proposes a new modeling method, which is compatible with the actual operation and has higher precision and satisfies the engineering requirement on lower switching frequency. Simulation results have proved its validity.

Keywords： optimal scheduling     nonlinear bounded programming     speed regulation of pumps    

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Nonlinear Model-Based Process Operation under Uncertainty Using Exact Parametric Programming

Vassilis M. Charitopoulos,Lazaros G. Papageorgiou,Vivek Dua

Engineering 2017, Volume 3, Issue 2,   Pages 202-213 doi: 10.1016/J.ENG.2017.02.008

Abstract:

In the present work, two new, (multi-)parametric programming (mp-P)-inspired algorithms for the solutionof mixed-integer nonlinear programming (MINLP) problems are developed, with their main focus being on

Keywords： Parametric programming     Uncertainty     Process synthesis     Mixed-integer nonlinear programming     Symbolic manipulation    

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Multi-UAV cooperative target tracking with bounded noise for connectivity preservation

Rui Zhou, Yu Feng, Bin Di, Jiang Zhao, Yan Hu,jzhao@buaa.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 10,   Pages 1413-1534 doi: 10.1631/FITEE.1900617

Abstract: We investigate cooperative target tracking of multiple unmanned aerial vehicles (UAVs) with a limited communication range. This is an integration of UAV motion control, target state estimation, and network topology control. We first present the communication topology and basic notations for , and introduce the distributed . Then, convergence and boundedness of the estimation errors using the filter are analyzed, and potential functions are proposed for communication link maintenance and collision avoidance. By taking stable target tracking into account, a distributed potential function based UAV motion controller is discussed. Since only the estimation of the target state rather than the state itself is available for UAV motion control and UAV motion can also affect the accuracy of state estimation, it is clear that the UAV motion control and target state estimation are coupled. Finally, the stability and convergence properties of the coupled system under are analyzed in detail and demonstrated by simulations.
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Nonlinear programming control using differential aerodynamic drag for CubeSat formation flying Article

Sheng-chao DENG, Tao MENG, Zhong-he JIN

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 7,   Pages 867-881 doi: 10.1631/FITEE.1500493

Abstract: We conduct aerodynamics analysis and design a multidimensional nonlinear constraint programming (MNLP

Keywords： QB50     ZJUCubeSat     Atmospheric drag     Formation flying    

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Hohmann transfer via constrained optimization None

Li XIE, Yi-qun ZHANG, Jun-yan XU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 11,   Pages 1444-1458 doi: 10.1631/FITEE.1800295

Abstract: MAREC, we first consider the Hohmann transfer problem between two coplanar circular orbits as a static nonlinearprogramming problem with an inequality constraint.the Hohmann transfer problem is re-discovered, and its global minimum is analytically verified using nonlinearprogramming.

Keywords： Hohmann transfer     Nonlinear programming     Constrained optimization     Calculus of variations    

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Robust cooperation of connected vehicle systems with eigenvalue-bounded interaction topologies in the

Keqiang LI, Feng GAO, Shengbo Eben LI, Yang ZHENG, Hongbo GAO

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 3,   Pages 354-367 doi: 10.1007/s11465-018-0486-x

Abstract: structurally unknown interaction topologies provided that the associated topological eigenvalues are boundedWith an inverse model to compensate for nonlinear powertrain dynamics, vehicles in a platoon are modeledby third-order uncertain systems with bounded disturbances.basis of the eigenvalue decomposition of topological matrices, we convert the platoon system to a norm-bounded

Keywords： automated vehicles     platoon     distributed control     robustness    

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Application of Genetic Algorithm in the Optimization of Parameters in Engineering Blasting

Xu Hongtao,Lu Wenbo

Strategic Study of CAE 2005, Volume 7, Issue 1,   Pages 76-80

Abstract:

The optimization of blasting parameters in engineering blasting is a complicated nonlinear programming

Keywords： engineering blasting     mining     optimization     mathematical model     nonlinear programming     genetic algorithm    

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Connected Vehicle Based Traffic Signal Coordination Article

Wan Li, Xuegang Ban

Engineering 2020, Volume 6, Issue 12,   Pages 1463-1472 doi: 10.1016/j.eng.2020.10.009

Abstract: optimization and coordination problem are first formulated in a centralized scheme as a mixed-integer nonlineardecompose the problem into two levels: an intersection level to optimize phase durations using dynamic programming

Keywords： Connected vehicles     Traffic signal coordination     Dynamic programming     Two-level optimization     Mixed-integernonlinear program    

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Smoothing ramp events in wind farm based on dynamic programming in energy internet

Jiang LI, Guodong LIU, Shuo ZHANG

Frontiers in Energy 2018, Volume 12, Issue 4,   Pages 550-559 doi: 10.1007/s11708-018-0593-8

Abstract: This paper proposes a dynamic programming method in smoothing ramp events.Then, the optimization problem in the energy internet is transformed into a multi-stage dynamic programmingproblem, and the dynamic programming method proposed is applied to solve the optimization problem.The results show that the dynamic programming method proposed is effective for smoothing wind power and

Keywords： energy internet     wind power     ramp events     dynamic programming    

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CNC programming system for complex components based on KBE within integrated environment of CAD/CAPP/

Shengwen ZHANG, Guicheng WANG, Liang ZHANG, Xifeng FANG

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 1,   Pages 97-102 doi: 10.1007/s11465-009-0007-z

Abstract: intelligent manufacturing technology and overcome shortcomings of computerized numerical control(CNC) programmingThis paper constructs the architecture of CNC programming based on KBE within CAD/CAPP/CAM and exploresthe key technology of applying KBE to CNC programming — knowledge representation, knowledge acquisition, knowledge reasoning, and generalized knowledge base system of CNC programming.The prototype system of CNC programming for complex components based on KBE within CAD/CAPP/CAM has been

Keywords： NC programming     CAD/CAPP/CAM     KBE    

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Technology and system of constraint programming for industry production scheduling

Yarong CHEN, Zailin GUAN, Yunfang PENG, Xinyu SHAO, Muhammad HASSEB

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 4,   Pages 455-464 doi: 10.1007/s11465-010-0106-x

Abstract: The use of techniques and system of constraint programming enables the implementation of precise, flexibletechnology, such as modeling, search, constraint propagation, consistency, and optimization of constraint programming

Keywords： constraint programming     production scheduling     constraint propagation     search     consistency     optimization    

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Two-stage stochastic programming with robust constraints for the logistics network post-disruption response

Frontiers of Engineering Management   Pages 67-81 doi: 10.1007/s42524-022-0240-2

Abstract: post-disruption response strategy optimization problem, this study proposes a novel two-stage stochastic programmingAn equivalent tractable mixed-integer linear programming reformulation is further derived by linearizing

Keywords： logistics network design     post-disruption response strategy     two-stage stochastic programming     conditional    

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Cutting CO emissions through demand side regulation: Implications from multi-regional input–output linear programming

Frontiers of Engineering Management   Pages 452-461 doi: 10.1007/s42524-022-0209-1

Abstract: This study combines multi-regional input–output (MRIO) model with linear programming (LP) model to explore

Keywords： CO2 emissions     demand side regulation     multi-regional input–output model     linear programming    

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New nonlinear stiffness actuator with predefined torque‒deflection profile

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 1, doi: 10.1007/s11465-022-0721-3

Abstract: A nonlinear stiffness actuator (NSA) could achieve high torque/force resolution in low stiffness range

Keywords： compliant actuator     nonlinear stiffness actuator     nonlinear spring     predefined torque−deflection profile    

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The Forward Recurrent Method for Dynamic Programming

Zhang Zhao,Pei Yanling,Zhang Renbao

Strategic Study of CAE 2005, Volume 7, Issue 2,   Pages 62-65

Abstract:

Backward recurrent method is usually adopted in seeking optimal solution by dynamic programming.A forward recurrent method to find optimal solution by dynamic programming is presented on the basisThe fundamental equation of dynamic programming and Millton-Jacobi's equation are also derived.It's an exploratory study on optimal solution of dynamic programming.

Keywords： dynamic programming     multi-level decision     functional equation     optimal solution    

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Title Author Date Type Operation

Optimal Scheduling of Variable-pressure Variable-flow Operation of Inverter-drive Pumps Connected in Parallel

Li Hongbin,Zhang Chenghui,Song Jun

Journal Article

Nonlinear Model-Based Process Operation under Uncertainty Using Exact Parametric Programming

Vassilis M. Charitopoulos,Lazaros G. Papageorgiou,Vivek Dua

Journal Article

Multi-UAV cooperative target tracking with bounded noise for connectivity preservation

Rui Zhou, Yu Feng, Bin Di, Jiang Zhao, Yan Hu,jzhao@buaa.edu.cn

Journal Article

Nonlinear programming control using differential aerodynamic drag for CubeSat formation flying

Sheng-chao DENG, Tao MENG, Zhong-he JIN

Journal Article

Hohmann transfer via constrained optimization

Li XIE, Yi-qun ZHANG, Jun-yan XU

Journal Article

Robust cooperation of connected vehicle systems with eigenvalue-bounded interaction topologies in the

Keqiang LI, Feng GAO, Shengbo Eben LI, Yang ZHENG, Hongbo GAO

Journal Article

Application of Genetic Algorithm in the Optimization of Parameters in Engineering Blasting

Xu Hongtao,Lu Wenbo

Journal Article

Connected Vehicle Based Traffic Signal Coordination

Wan Li, Xuegang Ban

Journal Article

Smoothing ramp events in wind farm based on dynamic programming in energy internet

Jiang LI, Guodong LIU, Shuo ZHANG

Journal Article

CNC programming system for complex components based on KBE within integrated environment of CAD/CAPP/

Shengwen ZHANG, Guicheng WANG, Liang ZHANG, Xifeng FANG

Journal Article

Technology and system of constraint programming for industry production scheduling

Yarong CHEN, Zailin GUAN, Yunfang PENG, Xinyu SHAO, Muhammad HASSEB

Journal Article

Two-stage stochastic programming with robust constraints for the logistics network post-disruption response

Journal Article

Cutting CO emissions through demand side regulation: Implications from multi-regional input–output linear programming

Journal Article

New nonlinear stiffness actuator with predefined torque‒deflection profile

Journal Article

The Forward Recurrent Method for Dynamic Programming

Zhang Zhao,Pei Yanling,Zhang Renbao

Journal Article