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Intelligent-adaptive flight control with a physiologically motivated algorithm

International Journal of Modelling and Simulation 2009年第1期29卷 12-18页

作者： Mehrabian, A.R. Lucas, C. School of Mechanical Engineering Department of Engineering University of Tehran P.O. Box: 14875 - 347 Tehran Iran Center of Excellence for Control and Intelligent Processing School of Electrical and Computer Engineering Department of Engineering P.O. Box: 14395 - 515 Tehran Iran School of Cognitive Science IPM Tehran Iran

This paper presents a now intelligent approach for adaptive control of non-linear dynamic systems. Based on past researches on emotionally intelligent-control systems, the introduced method is a modified version of Brain Emotional Learning Based Intelligent controller (BELBIC), a physiologically motivated system previously developed and successfully used in control applications. The proposed approach is able to quickly respond to change in environmental and dynamic system and realizes online diroct-adaptivc-control scheme. Showing very good robustness, BELBIC is very simple in implementation and imposes very low computation load on the control system. This modified algorithm has boon successfully applied to real-time longitudinal control of an agile air-to-air missile which has over-changing non-linear dynamics.

关键词： Intelligent systems

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PH control of penicillin fermentation process using predictive approach

PH control of penicillin fermentation process using predicti...

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作者： Ashoori, Ahmad Moshiri, Behzad Ramezani, Amin Bakhtiari, Mohammad Reza Khaki-Sedigh, Ali Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran Iranian Research Organization for Science and Technology Iran Department of Electrical Engineering K.N. Toosi University of Technology Tehran Iran Box No. 83 2205 Lower Mall Vancouver BC V6T 1Z4 United States

Bioprocesses which are involved in producing different pharmaceutical products may conveniently be classified according to the mode chosen for the process: cither batch, fed-batch or continuous. From the control engineer's viewpoint they are fed-batch processes, which present the greatest challenge to get a pure product with a high concentration. Complicated dynamics, nonline-arity and non-stationarity make controlling them a very delicate task. pH control of bioreactors has been an interesting problem from both implementation and controller design points of view. This is particularly true if the complex microbial interactions yield significant nonlinear behavior. When this occurs, conventional control strategies may not succeed and more advanced strategies need to be suggested. This paper discusses model predictive control (MPC) based on a detailed unstructured model for penicillin production in a fed-batch fermentor. The approach used here is to use quadratic cost function for pH regulation, while taking into account control signal fluctuations in the optimization block. The result of applying the obtained controller and also its sensitivity to disturbance have been displayed and compared with the results of an auto-tuned PID controller used in previous works. The merit of this method is its low computational cost of solving the optimization problem, while leading to a closed form controller as well.

关键词： Model predictive control

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Approximation-Based Adaptive Tracking control of Pure-Feedback Nonlinear Systems with Multiple Unknown Time-Varying Delays

Approximation-Based Adaptive Tracking Control of Pure-Feedba...

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Joint 48th IEEE Conference on Decision and control and 28th Chinese control Conference

作者： Min Wang Shuzhi Sam Ge College of Automation and the Center for Control and Optimization South China University of Technology the Institute of Intelligent Systems and Information Technology University of Electronic Science and Technology of China the Department of Electrical and Computer Engineering National University of Singapore

This paper presents adaptive neural tracking control for a class of non-affine pure-feedback systems with multiple unknown state time-varying delays. The separation technique is introduced to decompose unknown functions of all time-varying delayed states into a series of continuous functions of each delayed state. A novel Lyapunov-Krasovskii functional is employed to compensate for the unknown function of current delayed state, which is effectively free from any restrictive assumption on unknown time-delay functions. The proposed control scheme guarantees the boundedness of all the signals in the closed-loop system and the tracking *** studies are provided to demonstrate the effectiveness of the proposed scheme.

关键词： Lyapunov Approximation-Based Adaptive Tracking control of Pure-Feedback Nonlinear Systems with Multiple Unknown Time-Varying Delays

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Optimization of maintenance for power system equipment using a predictive health model

Optimization of maintenance for power system equipment using...

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Power Tech Conference

作者： G. Bajracharya T. Koltunowicz R. R. Negenborn Z. Papp D. Djairam B. De Schutter J. J. Smit Faculty of Electrical Engineering Mathematics and Computer Science Department High-voltage Components and Power Systems Delft University of Technnology Delft Netherlands Delft Center of Systems and Control Delft University of Technnology Delft Netherlands TNO Science and Industry Delft Netherlands Faculty of Electrical Engineering Mathematics and Computer Science Department High-voltage Components and Power Systems Transport Technology Department Delft University of Technnology Delft Netherlands

In this paper, a model-predictive control based framework is proposed for modeling and optimization of the health state of power system equipment. In the framework, a predictive health model is proposed that predicts the health state of the equipment based on its usage and maintenance actions. Based on the health state, the failure rate of the equipment can be estimated. We propose to use this predictive health model to predict the effects of different maintenance actions. The effects of maintenance actions over a future time window are evaluated by a cost function. The maintenance actions are optimized using this cost function. The proposed framework is applied in the optimization of the loading of transformers based on the thermal degradation of the paper insulation.

关键词： Power system modeling Predictive models Aging Cost function Marine technology Power transformer insulation Predictive maintenance Power system management Investments Power system reliability

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Comparison of rotary cement kiln identified models

Comparison of rotary cement kiln identified models

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International Conference on control and Automation (ICCA)

作者： G. Noshirvani A. Fatehi B. Araabi M. Shirvani M. Azizi ACER Markaz Branch Arak Iran Advanced Process Automation & Control Research group Electrical Engineering Department K.N. Toosi University of Technology Tehran Iran Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Tehran Iran Chemical Engineering Department and member of Cement Research Center University of Science and Technology Tehran Iran Saveh Cement Company Saveh Iran

Rotary cement kiln is the main part of a cement plant that clinker is produced in it. Clinker is the main ingredient of cement. Continual and prolonged operation of rotary cement kiln is vital in cement factories. However, prolonged operation of the kiln is not possible and periodic repairs of the refractory lining would become necessary, due to non-linear phenomena existing in the kiln, such as sudden falls of coatings in the burning zone and probability of damages to the refractory materials during production. This is the basic reason behind the needs for a comprehensive model which is severely necessary for better control of this process. Such a model can be derived based on the mathematic analysis with consultation of expert operator experiences. In this paper both linear and nonlinear model are identified for rotary kiln of Saveh white cement factory. The linear model is introduced using Box-Jenkins structure. The results of the obtained model were satisfactory compared to some other linear models and can be used for designing adaptive or robust controllers. Also, nonlinear system identification via Neural Network technique is performed and its result was compared to linear models.

关键词： Kilns Production facilities Coatings Building materials Process control Mathematical model Mathematics Programmable control Adaptive control Robust control

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An Empirical Study of DV-Hop Localization Algorithm in Random Sensor Networks

An Empirical Study of DV-Hop Localization Algorithm in Rando...

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International Conference on Intelligent Computation Technology and Automation, ICICTA

作者： Lingfei Wu Max Q.-H. Meng Zhenzhong Dong Huawei Liang Department of Automation University of Science and Technology Hefei Anhui China Center of Biomimetic Sensing and Control Research Institute of Intelligent Machines Chinese Academy and Sciences Hefei Anhui China Department of Electronic Engineering Chinese University of Hong Kong Hong Kong China Department of Computer Science University of Science and Technology Hefei Anhui China

ISBN: (纸本)9781424447411

Node localization is an important problem for location-dependent applications of wireless sensor networks. Aiming at the positioning problem of wireless sensor networks node location, an improved DV-Hop localization algorithm is proposed in this paper. The proposed method firstly recalculates the hop-size and sends different correction along different directions instead of computing a single correction to be broadcasted into the networks. Then we empirically evaluate the difference between distance estimate and actual distance through a number of simulation experiments statistical results. We find empirical parameter to improve the accuracy of distance estimate. Simulation results show that the performance of the proposed scheme outweighs classical DV-Hop algorithms, especially in lower connectivity.

关键词： Wireless sensor networks Intelligent sensors computer networks Intelligent networks Machine intelligence Biomimetics Intelligent robots Robotics and automation Broadcasting Computational modeling

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Quasi-direct pole placement for time delay systems applied to a heat transfer set-up

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IFAC Proceedings Volumes 2009年第14期42卷 325-330页

作者： Tomáš Vyhlídal Wim Michiels Pavel Zítek Center for Applied Cybernetics Dept. of Instrumentation and Control Eng. Faculty of Mechanical Engineering Czech Technical University in Prague Technicka 4 166 07 Praha 6 Czech Republic Department of Computer Science Katholieke Universiteit Leuven Celestijnenlaan 200A B-3001 Heverlee Belgium

A method for quasi-direct pole placement is presented for a class of retarded time delay systems with a single control input. The pole placement is done in two steps. First, a number of dominant poles, smaller than the number of controller parameters, are directly assigned. This leads to constraints on the controller parameters. By using the singular value decomposition a simple parameterization of all controllers satisfying these constraints is obtained. In the second step, the remaining degrees of freedom in the parameter space are used to shift the remaining part of the system spectrum as far to the left as possible. It is done using an optimization procedure for nonsmooth, nonconvex functions. An extensive real-plant example is presented to demonstrate the application of the novel pole placement procedure.

关键词： Retarded system pole placement singular value decomposition nonsmooth optimization

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Optimization based synthesis of state derivative feedback controllers for retarded systems

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IFAC Proceedings Volumes 2009年第14期42卷 162-167页

作者： Paul McGahan Tomás Vyhlídal Wim Michiels Center for Applied Cybernetics Dept. of Instrumentation and Control Eng. Faculty of Mechanical Engineering Czech Technical University in Prague Technická 4 166 07 Praha 6 Czech Republic Department of Computer Science Katholieke Universiteit Leuven Celestijnenlaan 200A B-3001 Heverlee Belgium

The paper presents an optimization based algorithm for stabilizing retarded systems using a state derivative feedback controller. It is shown that an application of such a controller results in neutral dynamics of the closed loop system if small feedback delays occur. Therefore, the strong stability theory of neutral systems needs to be considered in the controller synthesis problem. The stabilization approach is based on minimizing the spectral abscissa of the closed loop system over the controller parameter space, subject to a strong stability constraint.

关键词： Time Delay State Derivative Feedback Strong Stability Delay Structure

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Multi-Innovation Stochastic Gradient Algorithm for Output Error Systems Based on the Auxiliary Model

Multi-Innovation Stochastic Gradient Algorithm for Output Er...

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2009 American control Conference (ACC 2009)

作者： Dongqing Wang Feng Ding Peter X. Liu College of Automation Engineering Qingdao University (Jiangnan University) Qingdao P.R. China 266071 Control Science and Engineering Research Center at the Jiangnan University Wuxi P.R. China 214122 Department of Systems and Computer Engineering Carleton University Ottawa Canada K1S 5B6

ISBN: (纸本)9781424445233

This paper combines the multi-innovation theory with the auxiliary model identification idea to present the auxiliary model based multi-innovation stochastic gradient algorithm by expanding the scalar innovation to an innovation vector and introducing the innovation length. Convergence analysis in the stochastic framework indicates that the parameter estimation error consistently converges to zero under certain excitation condition. Finally, we illustrate and test the proposed algorithm with an example.

关键词： Stochastic systems Convergence Educational institutions Stochastic processes Technological innovation Parameter estimation Least squares methods Covariance matrix Computational complexity White noise

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MABEL, A New Robotic Bipedal Walker and Runner

MABEL, A New Robotic Bipedal Walker and Runner

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2009 American control Conference (ACC 2009)

作者： J.W. Grizzle Jonathan Hurst Benjamin Morris Hae-Won Park Koushil Sreenath Control Systems Laboratory Electrical Engineering and Computer Science Department University of Michigan Ann Arbor MI 48109-2122 USA Mechanical Engineering 204 Rogers Hall Oregon State University Corvallis OR 97331 USA Eaton Innovation Center 26201 Northwestern Highway Southfield MI 48076 USA Mechanical Engineering Department University of Michigan Ann Arbor MI 48109-2125 USA

ISBN: (纸本)9781424445233

This paper introduces MABEL, a new platform for the study of bipedal locomotion in robots. One of the purposes of building the mechanism is to explore a novel powertrain design that incorporates compliance, with the objective of improving the power efficiency of the robot, both in steady state operation and in responding to disturbances. A second purpose is to inspire the development of new feedback control algorithms for running on level surfaces and walking on rough terrain. A third motivation for building the robot is science and technology outreach;indeed, it is already included in tours when K-through-12 students visit the College of engineering at the University of Michigan. MABEL is currently walking at 1.1 m/s on a level surface, and a related monopod at Carnegie Mellon is hopping well, establishing that the testbed has the potential to realize its many objectives.

关键词： Alfven surface Robot stability operations runners walking dynamic efficiency Walkers colleges Rough terrain Buildings construction robot

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