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Multi-objective pigeon-inspired optimization for brushless direct current motor parameter design

Science China(Technological Sciences) 2015年第11期58卷 1915-1923页

作者： QIU HuaXin DUAN HaiBin Bio-inspired Autonomous Flight Systems(BAFS) Research Group Science and Technology on Aircraft Control Laboratory School of Automation Science and Electrical Engineering Beihang University

Pigeon-inspired optimization(PIO) is a new swarm intelligence optimization algorithm, which is inspired by the behavior of homing pigeons. A variant of pigeon-inspired optimization named multi-objective pigeon-inspired optimization(MPIO) is proposed in this paper. It is also adopted to solve the multi-objective optimization problems in designing the parameters of brushless direct current motors, which has two objective variables, five design variables, and five constraint variables. Furthermore, comparative experimental results with the modified non-dominated sorting genetic algorithm are given to show the feasibility, validity and superiority of our proposed MIPO algorithm.

关键词： brushless direct current （BLDC） motor multi-objective pigeon-inspired optimization （MPIO） electromagnetics mul-ti-objective optimization

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Structural vibration attenuation using a fractional order PD controller designed for a fractional order process

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IFAC-PapersOnLine 2018年第4期51卷 533-538页

作者： Birs, Isabela R. Muresan, Cristina I. Prodan, Ovidiu Folea, Silviu C. Ionescu, Clara Automation Department Technical University of Cluj-Napoca Cluj-Napoca Romania Dynamical Systems and Control Group Ghent University Belgium

Structural vibration is a highly studied topic, especially in civil structures. Unwanted earth vibrations during seismic activity endanger life and often destroy buildings. In this paper, a Fractional Order Proportional Derivative controller is designed with the purpose of vibration mitigation in a three-story building. The experimental setup consists of a third floor building equipped with an active pendulum attached to the last floor. The controller is designed for the fractional order mathematical approximation of the structure by imposing frequency domain constraints such as gain crossover frequency, phase margin and robustness to gain variations. The validity of the controller is analyzed considering the simulated behavior of the compensated building to the El Centro earthquake and experimental disturbance rejection performance. © 2018

关键词： controllers Calculations control engineering Disturbance rejection Earthquakes Floors Frequency domain analysis Structural dynamics Vibration control Active tuned mass damper Cross over frequencies Disturbance rejection performance Fractional calculus Proportional derivative controllers Structural vibrations Vibration mitigation Vibration suppression

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Hybrid membrane computing and pigeon-inspired optimization algorithm for brushless direct current motor parameter design

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Science China(Technological Sciences) 2016年第9期59卷 1435-1441页

作者： DENG YiMin ZHU WeiRen DUAN HaiBin Bio-inspired Autonomous Flight Systems (BAFS) Research Group Science and Technology on Aircraft Control Laboratory Beihang University School of Automation Science and Electrical Engineering Beihang University

In this paper, a novel approach is proposed for solving the parameter design problem of brushless direct current(BLDC) motor, which is based on the membrane computing(MC) and pigeon-inspired optimization(PIO) algorithm. The motor parameter design problem is converted to an optimization problem with five design parameters and six constraints. The PIO algorithm is introduced into the framework of MC for improving the global convergence performance. The hybrid algorithm can improve the population diversity with better searching efficiency. Comparative simulations are conducted, and comparative results are given to show the feasibility and effectiveness of our proposed hybrid algorithm for high nonlinear optimization problems.

关键词： brushless direct current（BLDC） motor pigeon-inspired optimization（PIO） membrane computing（MC）

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Markov decision evolutionary game theoretic learning for cooperative sensing of unmanned aerial vehicles

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Science China(Technological Sciences) 2015年第8期58卷 1392-1400页

作者： SUN ChangHao DUAN HaiBin State Key Laboratory of Virtual Reality Technology and Systems School of Automation Science and Electronic EngineeringBeihang University Bio-inspired Autonomous Flight Systems (BAFS) Research Group Science and Technology on Aircraft Control LaboratorySchool of Automation Science and Electronic EngineeringBeihang University

As one of the major contributions of biology to competitive decision making, evolutionary game theory provides a useful tool for studying the evolution of cooperation. To achieve the optimal solution for unmanned aerial vehicles （UAVs） that are car- rying out a sensing task, this paper presents a Markov decision evolutionary game （MDEG） based learning algorithm. Each in- dividual in the algorithm follows a Markov decision strategy to maximize its payoff against the well known Tit-for-Tat strate- gy. Simulation results demonstrate that the MDEG theory based approach effectively improves the collective payoff of the roam. The proposed algorithm can not only obtain the best action sequence but also a sub-optimal Markov policy that is inde- pendent of the game duration. Furthermore, the paper also studies the emergence of cooperation in the evolution of self-regarded UAVs. The results show that it is the adaptive ability of the MDEG based approach as well as the perfect balance between revenge and forgiveness of the Tit-for-Tat strategy that the emergence of cooperation should be attributed to.

关键词： unmanned aerial vehicles （UAVs） iterated prisoner＇s dilemma （IPD） Markov decision evolutionary game （MDEG） replicator dynamics cooperation

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Robust Attitude control for Reusable Launch Vehicles Based on Fractional Calculus and Pigeon-inspired Optimization

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IEEE/CAA Journal of Automatica Sinica 2017年第1期4卷 89-97页

作者： Qiang Xue Haibin Duan Bio-inspired Autonomous Flight Systems(BAFS) Research Group the Science and Technology on Aircraft Control Laboratory School of Automation Science and Electrical Engineering Beihang University (BUAA) IEEE

In this paper, a robust attitude control system based on fractional order sliding mode control and dynamic inversion approach is presented for the reusable launch vehicle RLV during the reentry phase. By introducing the fractional order sliding surface to replace the integer order one, we design robust outer loop controller to compensate the error introduced by inner loop controller designed by dynamic inversion approach. To take the uncertainties of aerodynamic parameters into account, stochastic robustness design approach based on the Monte Carlo simulation and Pigeon-inspired optimization is established to increase the robustness of the controller. Some simulation results are given out which indicate the reliability and effectiveness of the attitude control system. © 2014 Chinese Association of automation.

关键词： Attitude control Calculations Communication satellites control systems Intelligent systems Launch vehicles Launching Monte Carlo methods Nonlinear control systems Reusability Reusable rockets Robustness (control systems) Sliding mode control Stochastic systems Vehicles

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Analog simulation as a design tool for advanced braking concepts

Analog simulation as a design tool for advanced braking conc...

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Automotive Engineering Congress

作者： Hickner, G.B. Howard, D.W. Automotive Control Systems Group Bendix Automotive and Automation Company United States

An analog computer simulation development for a passenger car foundation braking system is presented. A brake control system is added to the simulation. As the hardware for the brake control system is developed it is substituted into the simulation along with components of the foundation brake system. This mixture is a "physical simulation" where the analog simulation is reduced to represent only the vehicle and the road with appropriate interface elements for the actual brake and control system hardware. The discussion includes the studies conducted using physical simulation for tolerance study of vehicle characteristics as well as the foundation brake system and control system parameters. Results which validate the model are presented. In conclusion, the advantages of this approach which supports the development of an advanced brake control system are discussed.

关键词： Computer hardware

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Identifiability study of a pressurizer in a pressurized water nuclear power plant 10

Identifiability study of a pressurizer in a pressurized wate...

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2009 10th European control Conference, ECC 2009

作者： Szederkenyi, Gabor Process Control Research Group Systems and Control Laboratory Computer and Automation Research Institute Budapest Hungary

ISBN: (纸本)9783952417393

In this paper, the identifiability of a pressurizer model is investigated. The modeled physical system is located in the primary circuit of a pressurized water nuclear power plant. A simple first principle model for the pressurizer is used for the calculations and it is shown that both the appropriately transformed and the original physical model parameters are structurally identifiable. © 2009 EUCA.

关键词： Nuclear power plants

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Autotuning of a Robust Fractional Order PID controller

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IFAC-PapersOnLine 2018年第25期51卷 466-471页

作者： De Keyser, Robin Muresan, Cristina I. Ionescu, Clara M. DySC research group on Dynamical Systems and Control Ghent University Ghent Belgium Department of Automation Technical University of Cluj-Napoca Cluj-Napoca Romania

Fractional order PI/PD controllers are generalizations of the well-known PI/PD controllers with an extra parameter usually used to enhance the robustness of the closed loop system. In this paper, an autotuning method, referred to as the fractional order KC autotuner, is presented for tuning fractional order PI/PD controllers. The method is an extension of a previously presented autotuning principle and produces controllers, which are robust to system gain variations. Additionally, the method can also be adapted to obtain robust controllers to time delay, time constant variations, etc. The advantages of this autotuning method reside in the simplicity of the approach: 1) it requires solely one single sine test on the process; 2) it does not need the process model and 3) it eliminates the complex nonlinear equations in the traditional fractional order controller design procedure. Numerical examples are included to validate the method. © 2018

关键词： controllers Closed loop systems Convergence of numerical methods Nonlinear equations Numerical methods Robustness (control systems) Three term control systems Auto tuning methods Complex nonlinear equations Fractional order pI Fractional order controllers Fractional order PID controllers Iso damping Robust controllers Time constant variations

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Motion planning for the heat equation with radiation boundary conditions based on finite difference semi-discretizations

Motion planning for the heat equation with radiation boundar...

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作者： Utz, T. Meurer, T. Kugi, A. Automation and Control Institute Complex Dynamical Systems Group Vienna University of Technology Vienna Austria

ISBN: (纸本)9783902661289

In this contribution, motion planning for the temperature distribution in a 1-dimensional slab with radiation boundary conditions is considered. For this, the infinite-dimensional model of the slab is spatially discretized using finite differences. It is shown that the discretized finite-dimensional model is flat and hence serves as a basis for a feedforward control design. For the heat equation with constant parameters, it is shown that the obtained feedforward control converges to the feedforward control for the infinite-dimensional problem in the limit as the discretization step size tends to zero. For the heat equation with temperature dependent parameters, simulation results illustrate the convergence behavior. Copyright © 2007 IFAC.

关键词： Feedforward control

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Tracking control for a diffusion-convection-reaction system: Combining flatness and backstepping

Tracking control for a diffusion-convection-reaction system:...

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作者： Meurer, Thomas Kugi, Andreas Automation and Control Institute Complex Dynamical Systems Group Vienna University of Technology Vienna Austria

ISBN: (纸本)9783902661289

The combination of flatness-based feedforward control and backstepping state feedback control is considered for the solution of a tracking control problem for a boundary controlled diffusion-convection-reaction system with cubic non-linearity. Besides the theoretical analysis, the tracking performance of the thus controlled distributed-parameter system is evaluated in simulation studies, which confirm the applicability of the approach. Copyright © 2007 IFAC.

关键词： Backstepping

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