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control Strategies for the Air Supply system in PEMFC 35

Control Strategies for the Air Supply System in PEMFC

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第35届中国控制会议

作者： ZHONG Chonglin LI Shaoyuan Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education

ISBN: (纸本)9781509009107

This paper focus on the regulation of oxygen flow in the polymer electrolyte membrane fuel cell(PEMFC) to solve the problem of performance optimization in real industrial *** excess ratio(OER) is maintained stable by controlling the input voltage of air compressor to adjust the flow of *** to select an appropriate control strategy for PEMFC to realize the internal pressure stability as well as to obtain maximum output power is of great significance to industrial *** formula deduction and system structure analysis,a mathematical model of the air supply system in PEMFC is *** order to regulate OER to reach the optimal value,a feedforward controller,a PID controller,a fuzzy PID controller and a DMC controller are investigated *** control effects of these methods are discussed *** the basis of theoretical analysis and simulation images,various control methods are analyzed and *** a conclusion about the advantages and disadvantages of several control strategies is *** a more effective control algorithm can be applied in corresponding situation.

关键词： PEMFC Oxygen Excess Ratio Air Supply PID Fuzzy PID DMC

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Model Predictive control for Household Energy Management based on Individual Habit

Model Predictive Control for Household Energy Management bas...

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第25届中国控制与决策会议

作者： keyu Long Zaiyue Yang State Key Lab. of Industrial Control Technology Zhejiang University Key Laboratory of System Control and Information Processing Ministry of Education

ISBN: (纸本)9781467355339

This paper focuses on the load shifting problem in a household scenario with a large-capacity battery. We propose a novel Model Predictive control （MPC） framework to control the charge/discharge power of battery, hence to shave the peak load. Being different from other studies, the framework is designed on the base of individual habit of energy consumption, as it is envisioned that the individual habit is critical for choosing the suitable energy services. In this paper, the habit is modeled as a Markov process and gradually learned by an iterative algorithm;thus, the habit can be utilized for the prediction of future energy consumption. Then, the rolling optimization is applied for the optimal control of the charge/discharge power of battery. It is shown by numerical simulations that the proposed approach can significantly reduce the peak load.

关键词： Habit Model Predictive control Markov Chain Nonlinear Optimization Household Energy Management

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Multiple-model Off-line Predictive control for Fast Time-varying systems

Multiple-model Off-line Predictive Control for Fast Time-var...

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第25届中国控制与决策会议

作者： Xiangyuan Tao Ning Li Shaoyuan Li the department of Automation Shanghai Jiao Tong University and key laboratory of system control and information processing ministry of education

ISBN: (纸本)9781467355339

To track the wide range of operating points of fast time-varying processes, a novel multiple model off-line predictive control algorithm is presented. The proposed method is a combination of multiple model strategy and predictive control. Firstly, we locally describe the original nonlinear system around an operating point employing linear time varying (LTV) model. Then the offline model predictive control (OMPC) algorithm is adopted to design local controller for LTV model, whose low computation burden makes it be able to control the fast time-varying process. To track the wide range of operating point, the multiple-model strategy is exploited. By estimating the stable region of local OMPC and selecting appropriate middle operating points, the stable switch between controllers can be guaranteed. Finally, a numerical simulation is given to illustrate the implementation and effectiveness of the proposed method.

关键词： Multiple model offline robust model predictive control large operating regions switching stability.

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A Mixed-integer Quadratic Programming Solver based on GPU 34

A Mixed-integer Quadratic Programming Solver based on GPU

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第三十四届中国控制会议

作者： WANG Xi LI Dewei XI Yugeng Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education

ISBN: (纸本)9781467374439

Solving the mixed-integer quadratic programming(MIQP) problem is often required in many practical applications. But the existing solvers always encounter the contradiction between high precision and low time consumption. To solve this problem, this paper designs a new MIQP solver by developing a parallel branch-and-bound algorithm utilizing multi-point radiation based on the multithreading parallel structure of GPU. This solver can obtain the global optimal solution by inheriting the advantages of the classical branch-and-bound algorithm. To increase the efficiency of the MIQP solver, for the quadratic programming(QP) to be solved each time during iteration, we fully use the massive parallelism of GPU and adopt the discrete-time simplified dual neural network. The idea of multi-point radiation is used to simultaneously generate multiple search branches to improve the search efficiency. These strategies enhance the throughput and the degree of parallelization. The high computational efficiency of the proposed MIQP solver is verified by test results with solving time statistics for multiple examples.

关键词： GPU,Mix-integer Quadratic Programming,Branch and Bound Algorithm,Parallel Structure

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The Trajectory Planning of 9 Degree-of-freedom Manipulator Based on Model Predictive control Method 35

The Trajectory Planning of 9 Degree-of-freedom Manipulator B...

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第35届中国控制会议

作者： WANG Naiqian LI Dewei XI Yugeng Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information ProcessingMinistry of Education

ISBN: (纸本)9781509009107

This paper focuses on a 9-DOF manipulator system composed of a gantry and small-sized *** the multi-input multi-output(MIMO) high dimensional model with joint constraints,an algorithm based on Model Predictive control(MPC) is proposed for the trajectory planning with *** of the joints are classified into different movement priority according to their motion range and positioning *** redundancy problem can be solved by setting different weight for control variable of each joint in optimization *** addition,for various setting points,different weighting selections are considered by analyzing joints motion ***,rolling optimization style of MPC scheme makes it possible to online continuously make trajectory planning with updated *** simulation results illustrate effectiveness of the algorithm proposed in this paper.

关键词： Manipulator Redundancy Trajectory planning Model Predictive control Inverse kinematics

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Evolution of International Trade and Investment from a Complex Network Perspective 34

Evolution of International Trade and Investment from a Compl...

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第三十四届中国控制会议

作者： ZHANG Shuhong WANG Lin Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education

ISBN: (纸本)9781467374439

In this paper, from a perspective of complex network, we investigate the international trade and investment for more than 200 countries from 2001 to 2010. Through analyzing the topological properties, we nd that the average partner numbers for both trade and investment are increasing year by year, and the average volume has a signi cant decrease in 2008 for investment and 2009 for trade. Although the edge density is dramatically lower and the average path length is longer for the international investment network, its clustering coef cient is higher every year. Moreover, we detect community structures and rank each country according to its total trade or investment volume, which demonstrate that the partnerships for the international trade are more stable, and USA always ranks rst in its community for both trade and investment.

关键词： International Trade,International Investment,Complex Network,Evolution,Community,Rank

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A Fast Algorithm for MPC Based on Aggregation Strategy

A Fast Algorithm for MPC Based on Aggregation Strategy

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第25届中国控制与决策会议

作者： Cunsheng Lu Dewei Li Yugeng Xi Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education

ISBN: (纸本)9781467355339

Improving the computational efficiency for model predictive control (MPC) becomes the focus of recent researches. This paper proposes a fast algorithm to solve the quadratic programming (QP) problem of MPC for systems with only input constraints. This algorithm improves the efficiency of the fast gradient approach. Inspired by the multiplexed way, this algorithm searches a better solution of QP problem along the direction of one input channel in every iteration. Meanwhile, in order to further reduce the online computational complexity, the proposed algorithm applies the aggregation strategy to each input channel. Due to the aggregation strategy and the determined optimization direction, the proposed algorithm reduces the number of vector multiplications of each iteration, i.e. with less online computational complexity than previous works. Applying the proposed algorithm, simulations for a system with 3 inputs show that computational efficiency of this algorithm can reach a level of tens of microseconds in Matlab environment.

关键词： Model Predictive control, Quadratic Programming, Aggregation strategy, Computational Complexity

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Optimization of carpooling based on complete subgraphs 35

Optimization of carpooling based on complete subgraphs

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第35届中国控制会议

作者： QI Xinyu WANG Lin WANG Xiaofan Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education

ISBN: (纸本)9781509009107

The carpooling recommendation system can alleviate the problems of traffic congestion and environmental pollution effectively in big *** this paper,a complete subgraphs based commuting carpooling matching system(CS-CCMS) for the commuters is designed,which transforms the carpooling optimization problem into a complete subgraph *** classifies commuters through daily travel information of the users,and recommends potential carpooling partners for each commuter according to a satisfaction *** satisfaction function is proposed based on information of users and trips as well as a negotiation *** problem of maximizing the satisfaction among all users is ***,two approximation algorithms,GS A and TSA,are presented to solve this ***,a travel demand network of residents in Shanghai is set up using the passenger data of Shanghai Metro,to verify the effectiveness of the approximation algorithms.

关键词： Graph model satisfaction degree function complete subgraphs GSA TSA one-card data

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The Vibration control of Flexible Manipulators Based on Model Predictive control Method 33

The Vibration Control of Flexible Manipulators Based on Mode...

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第三十三届中国控制会议

作者： ZHANG Xiaoying LI Dewei XI Yugeng Key Laboratory of System Control and Information Processing Ministry of Education Department of Automation Shanghai Jiao Tong University

ISBN: (纸本)9781479947249

This paper proposes a hierarchical control structure based on model predictive control to address the vibration suppression of flexible manipulators under the dynamic constraints. Due to the coupling relationship between the trajectory and the flexible vibration, it provides a solution to vibration reduction if the trajectory can be rationally planned. In the decision layer,an optimal reference trajectory is planned with consideration of the dynamic constraints to ensure the manipulator to locate at the desired position as soon as possible and the reduced flexible vibration is suppressed during the movement. In the execution layer, the tracking controller is designed to minimize a quadratic performance index of the prediction error. Simulations for a single-link flexible manipulator are performed to validate the proposed controllers.

关键词： Model Predictive control,Flexible Manipulator,Vibration control,Dynamic Constraints,Hierarchical control

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Distributed State Estimation of FCCU Riser Temperature 36

Distributed State Estimation of FCCU Riser Temperature

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第36届中国控制会议

作者： Li Mengying Zheng Yi Li Shaoyuan Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education

ISBN: (纸本)9781538629185

The temperature of riser reactor plays an important role in the operation and control of fluid catalytic cracking unit（FCCU）. However, the FCCU riser only has limit temperature sensors. In this paper, a distributed state observer strategy is proposed to estimate temperature distribution of the whole riser. Based on moving horizon estimation（MHE）, this paper presents a simplified MHE scheme for differential-algebraic systems that is applied to each observer that are combined together to form a large distributed state observer. The simulation results show that the distributed state observer works well and is able to estimation the temperature distribution.

关键词： state observer moving horizon estimation differential-algebraic equations riser reactor of fluid catalytic cracking unit

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