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Hardware-based parallel firefly algorithm for embedded applications

Hardware-based parallel firefly algorithm for embedded appli...

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2013 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2013

作者： Muñoz, Daniel M. Llanos, Carlos H. Dos Santos Coelho, Leandro Ayala-Rincón, Mauricio Electronics Engineering Graduate Program Faculty of Gama University of Brasilia Brasilia DF Brazil Department of Mechanical Engineering Automation and Control Group/GRACO University of Brasilia Brasilia DF Brazil Industrial and Systems Engineering Graduate Program LAS/PPGEPS Pontifical Catholic University of Parana Curitiba Parana Brazil Departments of Computer Science and Mathematics University of Brasilia Brasilia DF Brazil

ISBN: (纸本)9781467363839

The firefly algorithm (FA) is a new population-based metaheuristic bioinspired on the behavior of the flashing characteristics of fireflies. As a population-based algorithm, the FA suffers from large execution times specifically for embedded optimization problems with computational limitations. For reducing execution times we propose a hardware parallel architecture of the FA algorithm that facilitates the implementation in Field Programmable Gate Arrays (FPGAs). In addition, this work proposes the application of the opposition-based learning (OBL) approach to the FA algorithm. The respective hardware implementation (HPOFA) was mapped into a Virtex5 FPGA device and numerical experiments using four well-known benchmark problems demonstrate that the opposition-based approach allows the FA algorithm to improve its functionality, preserving the swarm diversity and avoiding the premature convergence problem. Synthesis results point out that the HPOFA architecture is effectively mapped in hardware and is suitable for embedded applications. © 2013 IEEE.

关键词： Parallel architectures

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GA-based sliding mode controller for yaw stability improvement

GA-based sliding mode controller for yaw stability improveme...

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Asian control Conference

作者： Norhazimi Hamzah Yahaya Md Sam Hazlina Selamat M Khairi Aripin Faculty of Electrical Engineering Universiti Teknologi MARA Pulau Pinang Malaysia Faculty of Electrical Engineering Universiti Teknologi Malaysia Johor Malaysia Control Instrumentation & Automation Department. Faculty of Electrical Engineering UTeM Malacca Malaysia

ISBN: (纸本)9781467357661

The vehicle handling and stability can be enhanced with direct yaw moment control (DYC). In this paper, a sliding mode controller (SMC) with genetic algorithm optimization is proposed for the yaw moment control. A single track vehicle model with nonlinear tire forces is utilized for the controller design. The effectiveness of the proposed controller is compared to conventional sliding mode controller by co-simulations in CarSim and Matlab/Simulink. The simulation results of a step steer maneuvers shows that the proposed controller give better performance in tracking the desired yaw rate and control other necessary response for the vehicle handling and stability. In addition, the chattering phenomenon is also reduced, giving a smooth tracking trajectory.

关键词： Vehicles Genetic algorithms Tires Wheels Stability analysis Force Mathematical model

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Application of optimization technique for PID controller tuning in position tracking of pneumatic actuator system

Application of optimization technique for PID controller tun...

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International Colloquium on Signal Processing & Its Applications, CSPA

作者： N.H Sunar M.F. Rahmat Z. H. Ismail A. M. Faudzi Sy Najib Sy Salim Sharatul Izah Samsudin Department of Mechatronics and Control Engineering Faculty of Electrical Engineering Universiti Teknologi Malaysia Johor Malaysia Department of Control Instrument and Automation Faculty of Electrical Engineering Universiti Teknikal Malaysia Melaka Melaka Malaysia Department of Industrial Electronics Faculty of Electronics and Computer Engineering Universiti Teknikal Malaysia Melaka Melaka Malaysia

In this paper, two optimization techniques of Particle Swarm Optimization (PSO) and Firefly Algorithm (FA) is used to obtain the optimal PID control parameters. To represent the model of the system, system identification with ARX model structure is developed. The results are determined by analysis the step response characteristic of the system. It was observed that the performances of PID controller with PSO optimized parameters perform well in position tracking of the pneumatic actuator system.

关键词： Tuning Zinc Optimization Signal processing algorithms PD control Pneumatic actuators

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A New Challenge in Ecological Process control Based on PLCs with Profinet Communication Protocol

A New Challenge in Ecological Process Control Based on PLCs ...

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International Conference on control Systems and Computer Science (CSCS)

作者： Alexandru Dumitrascu Dan Stefanoiu Ionut Tomita Department of Automatic Control and System Engineering Automatic Control and Computers Faculty University Politehnica of Bucharest Romania Asti Automation SRL Bucharest Romania

ISBN: (纸本)9781467361408

The current situation of environmental resources requires their efficient usage through efficient process control. But, process control can not be achieved without an essential component: the communication between all devices, such as sensors, controllers, actuators, programming stations etc. The aim is to achieve the irrigation process of plants in greenhouse conditions. Therefore, it is submitted a comprehensive application that proposes to be a distributed control system including data acquisition and processing, both local and remote monitoring of the process parameters. The distributed system is based on modern equipment: Siemens Simatic PLCs and HMI, Memsic e̅Ko Pro wireless sensors network, level sensors for irrigation tanks and actuators such as on/off valves and pumps. In terms of communication between equipments, an industrial bus and protocols were used - Profinet and wireless communication. The software part is provided by TIA Portal with STEP 7 and WinCC flexible RT and LOGO! Soft Comfort for programming the automation devices. ModbusTCP was used to develop the communication protocol between central devices.

关键词： Sensors Irrigation Process control Green products Wireless sensor networks Monitoring control systems

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Design of inertial module for rehabilitation device

Design of inertial module for rehabilitation device

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International Symposium on Applied Machine Intelligence and Informatics (SAMI)

作者： D. Šimšík J. Karchňák B. Jobbágy A. Galajdová Mechanical Engineering Faculty/ Department of Automation Control and Human-Machine Interactions Technical University of Košice Kosice Slovakia

The paper describes design and functions of the prototype of the inertial module for motion analysis of rehabilitated persons by an robotic rehabilitation device. Described device should be used for motion analysis and progress monitoring during rehabilitation processes. In control system of rehabilitation device, inertial module may be used for safety monitoring of rehabilitation process.

关键词： Prototypes Monitoring control systems Wearable sensors Joints Robots

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Comparison of different methods for pneumatic artificial muscle control

Comparison of different methods for pneumatic artificial mus...

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International Symposium on Applied Machine Intelligence and Informatics (SAMI)

作者： Marcel More Ondrej Líška Faculty of Mechanical Engineering/ Department of Automation Control and Human Machine Interaction Technical University of Košice Kosice Slovakia

Actuators based on pneumatic artificial muscles (PAM) have their specific attributes that make their control different than control of common pneumatic drives. Selection of right method of control for specific device is important for further successful design of control system. This paper presents some control methods that can be used in devices actuated by PAM drives.

关键词： Valves Muscles Actuators Regulators Assembly Fluids

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Rate control and flight stabilization for a quadrotor system

Rate control and flight stabilization for a quadrotor system

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International Conference on Unmanned Aircraft Systems (ICUAS)

作者： Benjamin Jahn Alexander Barth Kai Wulff Tobias Simon Jan Römisch Control Engineering Group Computer Science and Automation Faculty Ilmenau University of Technology Ilmenau Germany Integrated Communication Systems Group Computer Science and Automation Faculty Ilmenau University of Technology Ilmenau Germany

In this paper we propose a stability augmentation system for a quadrotor, enabling direct rate control for a human pilot. Our system includes feedforward for rate control, feedback for disturbance attenuation, and an online optimization technique for handling input restrictions. We show that the proposed algorithms are able to stabilize the system under highly challenging flight conditions, such as wind gusts and fast manual descend. Our input restriction technique ensures that the revolution speeds for the desired torques are feasible. The complete control system is analyzed using MATLAB, and full experimental validation is provided based on a quadrotor prototype.

关键词： Mathematical model Torque Actuators Angular velocity Equations Feedforward neural networks Stability analysis

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A Data-Driven Approach for Fault Diagnosis in Gearbox of Wind Energy Conversion System

A Data-Driven Approach for Fault Diagnosis in Gearbox of Win...

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Conference on control and Fault-Tolerant Systems

作者： Minjia Kruger Steven X. Ding Adel Haghani Peter Engel Torsten Jeinsch Institute for Automatic Control and Complex System Faculty of Engineering University Duisburg-Essen PC-Soft GmbH Institute of Automation University Rostock

ISBN: (纸本)9781479928569

With a fast growing of wind power installed capacity, an efficient monitoring system for wind energy conversion system (WEC) is required to ensure operational reliability, high availability of energy production and at the same time reduce operating and maintenance costs. In this paper, an efficient, scaleable data-driven on-line WEC monitoring method is introduced, which consists of three parts: 1) off-line training process 2) on-line monitoring phase 3) on-line diagnosis phase. The performance and effectiveness of this method for the detection of process abnormalities are demonstrated using the data obtained from different wind turbines in a wind farm.

关键词： Wind energy conversion system Fault diagnosis Data-driven

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On signal detection techniques of adaptive stochastic resonance based on PSO

On signal detection techniques of adaptive stochastic resona...

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Chinese control Conference (CCC)

作者： Nianlong Song Lu Xv Xinyu Zhang Yan Wang Xian University of Technology Faculty of Information and Automation Engineering Xi'an 710048 China Xi'an Aero-Engine Control Company 150001 China

This paper introduced the basic principle and mathematical model of stochastic resonance(SR). For the deficiency of the traditional adaptive SR is that only a single parameter can be optimized while the other parameters in the system being fixed. This paper presents a new adaptive SR, It based on PSO, which realizes multi-parameter synchronous optimization. This method reserve the synergistic effect between one structure parameter and another. It determine the signal-noise-ratio of the output of the system as the fitness function of genetic algorithm and it can quickly select the adaptive multi-parameters in SR system. As a result, weak periodical components in orignal signals are sufficiently detected. The experimental result shows that this method has some advantages, such as simple algorithms,good rapidity high accuracy and fine applicability.

关键词： Electronic mail Stochastic resonance Adaptive systems Stochastic processes Signal detection Educational institutions automation

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Attitude Parameters Extraction of UAV Based on Hybrid Computer Vision and Improved Artificial Bee Colony Algorithm

Attitude Parameters Extraction of UAV Based on Hybrid Comput...

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第三十二届中国控制会议

作者： Xue Zhang Haibin Duan Xinge Gao Science and Technology on Aircraft Control Laboratory School of Automation Science and Electrical EngineeringBeihang University Advanced Engineering Robotics Faculty of EngineeringUniversity of BristolBristol BS81THU.K.

ISBN: (纸本)9781479900305

In this paper,we proposed a hybrid method in extracting the attitude parameters of unmanned aerial vehicle(UAV), which is based on computer vision and improved artificial bee colony(ABC) *** is used as a characteristic line, whose two parameters,Φandσare utilized to obtain UAV's parameters:roll angleΨand pitch angleθ.Defogging Algorithm is used to make the original pictures clearer and gain the transmission image for horizon *** UAV could obtain the horizon through improved ABC *** also analyzed the relationship between line parameters and UAV parameters and calculated the UAV *** results verified the feasibility and effectiveness of our presented approach.

关键词： unmanned aerial vehicle(UAV) computer vision artificial bee colony(ABC) horizon

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