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CFD Prediction for Spin Rate of Fixed Canards on a Spinning Projectile

AIP Conference Proceedings 2011年第1期1376卷 241-244页

作者： X. L. Ji Ch. Y. Jia T. Y. Jiang National Key Laboratory of Mechatronics Engineering and Control Beijing Institute of Technology Beijing 100081 China

A computational study performed for spin rate of fixed canards on a spinning projectile is presented in this paper. The cancards configurations provide challenges in terms of the determination of the aerodynamic forces and moments and the flow field changes which could have significant effect on the stability, performance, and corrected round accuracy. Advanced time accurate Navier‐Stokes computations have been performed to compute the spin rate associated with the spinning motion of the cancards configurations at supersonic speed. The results show that roll‐damping moment of cancards varies linearly with the spin rate at supersonic velocity.

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A novel type of trigonometric neural network trained by extended Kalman filter

A novel type of trigonometric neural network trained by exte...

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4th International Workshop on Advanced Computational Intelligence, IWACI 2011

作者： Norouzi, M. Mansouri, M. Teshnehlab, M. Shoorehdeli, M. Aliyari Faculty of Engineering Department of Computer Engineering Islamic Azad University Iran Faculty of Electrical Engineering Control Department K.N. Toosi University of Technology Tehran Iran Faculty of Electrical Engineering Department of Mechatronics Engineering K.N. Toosi University of Technology Tehran Iran

ISBN: (纸本)9781612843735

In this study, a new type of trigonometric neural network is presented by adding frequency and phase to trigonometric activation functions. The proposed trigonometric neural network has more flexibility in comparison with conventional trigonometric neural networks and even other types of neural networks. Due to the low convergence rate and high posibility of trapping in a local minimum of backpropagation algorithm, Extended Kalman Filter algorithm is used to train the neural network's parameters which they appear in a nonlinear form. The Simulation of the suggested neural network based on the prediction of Mackey-Glass time series and identification of a nonlinear dynamic ystem reveals the efficiency of the proposed network. To show the efficiency of this method, the results are compared with the results of the others. © 2011 IEEE.

关键词： Extended Kalman filters

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Study on electrode potential of capacitance proximity fuze

Study on electrode potential of capacitance proximity fuze

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International Conference on Electronic Measurement and Instruments, ICEMI

作者： Zhang Xin Zhanzhong Cui Lixin Xu National Defense Key Laboratory of Mechatronics Engineering and Control Beijing Institute of Technology Beijing China National Defense Key Laboratory of Mechatronics Engineering and Control Beijing Institute of Technology China

Detection mechanism of capacitance proximity fuze is the base of fuze design work. Electric field and circuit methods are used to calculate the potential proportional relationship between the two electrodes. The potential of electrode I is obtained through experiment. Thus we can get the potential of electrode II. Pispce software is used to simulate the whole circuit, and get the simulation result of potential of electrode II. The experiment comes to the conclusions as following: the potential of electrode II decreases when fuze gets close to the target; and the potential proportional relationship between the two electrodes based on the two methods are nearly same; potential of electrode II based on theory and experiment fits the result of simulation.

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Attractive Invariant Submanifold-based Coupling controller Design

Attractive Invariant Submanifold-based Coupling Controller D...

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IEEE Conference on Decision and control

作者： Daniel Labisch Ulrich Konigorski Department of Control Engineering and Mechatronics Technische Universitat Darmstadt 64283 Darmstadt Germany

ISBN: (纸本)9781612848006

In this paper, we provide an algorithm for the design of a coupling controller for a nonlinear input-affine system. The resulting controller renders the maximal locally controlled invariant output-nulling submanifold locally attractive for the controlled system. The connections to the constrained dynamics algorithm and the triangular decoupling problem are presented, and necessary and sufficient conditions for the success of the new algorithm are derived.

关键词： Heuristic algorithms Couplings Manifolds Heating Algorithm design and analysis Vectors

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control of Flexible Joint Manipulator via Reduced Rule-Based Fuzzy control with Experimental Validation

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International Scholarly Research Notices 2012年第1期2012卷

作者： Mojtaba Rostami Kandroodi Mohammad Mansouri Mahdi Aliyari Shoorehdeli Mohammad Teshnehlab Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iranut.ac.ir Department of Control Engineering Faculty of Electrical Engineering K. N. Toosi University of Technology Tehran Irankntu.ac.ir Department of Mechatronics Engineering Faculty of Electrical Engineering K.N. Toosi University of Technology Tehran Irankntu.ac.ir

A novel structure of fuzzy logic controller is presented for trajectory tracking and vibration control of a flexible joint manipulator. The rule base of fuzzy controller is divided into two sections. Each section includes two variables. The variables of first section are the error of tip angular position and the error of deflection angle, while the variables of second section are derivatives of mentioned errors. Using these structures, it would be possible to reduce the number of rules. Advantages of proposed fuzzy logic are low computational complexity, high interpretability of rules, and convenience in fuzzy controller. Implementing of the fuzzy logic controller on Quanser flexible joint reveals efficiency of proposed controller. To show the efficiency of this method, the results are compared with LQR method. In this paper, experimental validation of proposed method is presented.

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Integrated Electric Vehicle control by Differential Parameterization

Integrated Electric Vehicle Control by Differential Paramete...

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IEEE Conference on Decision and control

作者： Jens Hoedt Ulrich Konigorski Department of Control Engineering and Mechatronics Technische Universitat Darmstadt 64283 Darmstadt Germany

ISBN: (纸本)9781612848006

The design of a tracking controller for electric cars in x-by-wire structure is presented to assign trajectories for the coordinates of the vehicle structure, which are shown to be a flat output. The model of the car is a detailed nonlinear two-track vehicle with all degrees of freedom in the three-dimensional space provided with redundant actuation. Each tire is equipped with two salient pole permanent magnet (PM-)synchronous machines for steering and driving. For the controller design, an overall model with a special differential-algebraic structure is derived. The tire forces and the torques of the electrical machines are used as fictitious inputs. With this particular modeling it is possible to decouple the dynamic part of the model in the given coordinates at the highest relative degree. To get a consistent behavior it is necessary to account for some algebraic constraints, in this case given by the tire model and the torque equations of the PM-synchronous machines. It is possible to parameterize all constraints and coordinates of the drive units by the coordinates of the vehicle structure and its derivatives. All these parameterizations can be derived analytically. With an additional tracking controller the approach is robust against parameter variations and pulse-shaped disturbances. The control of the electrical machines is integrated in the overall control law. By introducing additional coupling conditions it is possible to generate the desired torque for steering and driving by minimum current.

关键词： Electric vehicles Coordinates electric machines tracking controller Steering Torque parameterization Vehicle control control law moment equation three-dimensional space vehicle

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Feasibility and soft constraint of steady state target calculation layer in LP-MPC and QP-MPC cascade control systems

Feasibility and soft constraint of steady state target calcu...

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作者： Zou, T. Li, H.Q. Zhang, X.X. Gu, Y. Su, H.Y. College of Information Engineering Zhejiang University of Technology China School of Mechatronics Engineering and Automation Shanghai University Shanghai 200444 China State Key Laboratory of Industrial Control Technology Zhejiang University China

This paper mainly focus on the feasibility and soft constraint of steady state target calculation, which is one of inherent problem of predictive control. By using two-stage method, the state target calculation can be solved effectively. To guarantee the existence of feasibility domain, weighting and priority policies are presented to determine the feasibility and adjust soft constraints. Simulation results validate the effectiveness of the proposed approach © 2011 Zhejiang University.

关键词： Cascade control systems

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Model-Based Design of Experiments based on Local Model Networks for Nonlinear Processes with Low Noise Levels

Model-Based Design of Experiments based on Local Model Netwo...

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2011 American control Conference (ACC)

作者： Benjamin Hartmann Tobias Ebert Oliver Nelles Automatic Control Mechatronics Department of Mechanical Engineering University of Siegen Siegen Germany

Most common methods for experiment design are classical, geometric designs and optimal designs. Both categories of methods don't incorporate specific information about the process behavior into the design of experiments. In the case of optimal design often the underlying model structure is chosen as low order polynomial which is very restricted in its flexibility and causes problems, if used for higher-dimensional problems. Furthermore, the focus of these approaches lies on the minimization of the variance error. However, in many applications the process noise is negligible in comparison to the highly nonlinear behavior which usually causes a large bias error. Therefore, this paper presents the new algorithm HilomotDoE which is an active learning algorithm that aims to minimize the bias error of the model. This is achieved by an iterative refinement of a local model network and simultaneously the addition of a certain amount of measurement points. Demonstration examples and theoretical comparisons with the common D-optimal design show the usefulness of HilomotDoE for the mentioned problem class.

关键词： Data models Polynomials Algorithm design and analysis Engines Computational modeling US Department of Energy Covariance matrix

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Development of embroidery machine vector control speed regulation system based on DSP

Development of embroidery machine vector control speed regul...

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International Conference on Power Electronics Systems and Applications (ICPESA)

作者： Yong-yang Li Guang-zhong Cao Hong Qiu J. F. Pan Chong-chong Yang Institute of Automation College of Mechatronics and Control Engineering Shenzhen University Shenzhen China

Based on the rotor field oriented control principle and space vector PWM technology, a vector control speed regulation algorithm applied to embroidery machines is developed based on DSP. Combined with the theoretical analysis, a kind of Anti-Windup PI controller is adopted based on output feedback calculations, and a discrete simulation model of the vector control speed regulation system is built on Matlab/Simulink platform. After the completion of the system hardware design, the entire control system software design and programming are completed based on the TMS320F2801 fixed-point DSP. Results of simulation and experiments show that the designed system meets the needs of a practical application in spindle actuator of the embroidery machine.

关键词： Rotors Induction motors Machine vector control Stators Digital signal processing Torque control systems

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Hierarchical local model trees for design of experiments in the framework of ultrasonic structural health monitoring

Hierarchical local model trees for design of experiments in ...

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IEEE Conference on control Technology and Applications (CCTA)

作者： Benjamin Hartmann Jochen Moll Oliver Nelles Claus-Peter Fritzen Automatic Control Mechatronics Department of Mechanical Engineering University of Siegen Siegen Germany

In this paper, we propose an effective and time-saving algorithm for model-based design of experiments in the framework of a structural health monitoring system. The goal is to identify and locate structural defects in plate-like geometries. The new idea combines a pseudo-random Monte-Carlo sampling with a local model network. The global distribution of data points is based on the input space partitioning which can be seen as a mapping of the non-linearities of the underlying process. This results in an active learning strategy that incorporates the process behavior into the experimental design strategy. The application of the proposed algorithm for ultrasonic imaging in an isotropic non-convex structure shows great potential. It is shown that in contrast to a grid-based approach the spatial discretization can be optimized with high accuracy and adaptivity.

关键词： Algorithm design and analysis Data models Polynomials Covariance matrix US Department of Energy Sensors Monitoring

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