Smart Semi-active PID-ACO control strategy for tower vibration reduction in Wind Turbines with MR damper

Smart Semi-active PID-ACO control strategy for tower vibration reduction in Wind Turbines with MR damper

论文摘要

Wind turbine technology is well known around the globe as an eco-friendly and effective renewable power source. However, this technology often faces reliability problems due to structural vibration. This study proposes a smart semi-active vibration control system using Magnetorheological(MR) dampers where feedback controllers are optimized with nature-inspired algorithms. Proportional integral derivative(PID) and Proportional integral(PI) controllers are designed to achieve the optimal desired force and current input for MR the damper. PID control parameters are optimized using an Ant colony optimization(ACO) algorithm. The effectiveness of the ACO algorithm is validated by comparing its performance with Ziegler-Nichols(Z-N) and particle swarm optimization(PSO). The placement of the MR damper on the tower is also investigated to ensure structural balance and optimal desired force from the MR damper. The simulation results show that the proposed semi-active PID-ACO control strategy can significantly reduce vibration on the wind turbine tower under different frequencies(i.e., 67%, 73%, 79% and 34.4% at 2 Hz, 3 Hz, 4.6 Hz and 6 Hz, respectively) and amplitudes(i.e. 50%, 58% and 67% for 50 N, 80 N, and 100 N, respectively). In this study, the simulation model is validated with an experimental study in terms of natural frequency, mode shape and uncontrolled response at the 1 st mode. The proposed PID-ACO control strategy and optimal MR damper position is also implemented on a lab-scaled wind turbine tower model. The results show that the vibration reduction rate is 66% and 73% in the experimental and simulation study, respectively, at the 1st mode.

论文目录

  • 1 Introduction
  • 2 Proposed semi-active vibration control system
  • 3 Modeling of wind turbine tower
  • 4 Modeling of MR damper
  • 5 System controllerand optimization with ACO
  •   5.1 System controller
  •   5.2 Current controller
  • 6 Experimental setup
  • 7 Results and discussions
  •   7.1 Modeling of wind turbine tower
  •   7.2 Modeling of MR damper
  •   7.3 Wind turbine tower vibration control
  •     7.3.1 Desired control force using optimized PID controller
  •     7.3.3 Optimal placement of MR damper
  •     7.3.3 Current Controller
  •     7.3.4 Semi-active control response with controllable MR damper under different excitations
  •   7.4 Model validation
  •   7.5 Implementation of proposed control system and optimal position of MR damper
  • 8 Conclusions
  • 文章来源

    类型: 期刊论文

    作者: Mahmudur Rahman,Zhi Chao Ong,Wen Tong Chong,Sabariah Julai

    来源: Earthquake Engineering and Engineering Vibration 2019年04期

    年度: 2019

    分类: 基础科学,工程科技Ⅱ辑

    专业: 工业通用技术及设备,新能源

    单位: Department of Mechanical Engineering, Faculty of Engineering, University of Malaya

    基金: University of Malaya Research under Grant No.RP013B-15SUS,Postgraduate Research Fund(PG098-2015A)

    分类号: TK83;TB535

    页码: 887-902

    总页数: 16

    文件大小: 1864K

    下载量: 46

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