Aiming at solving the problems of response lag and lack of precision and stability in constant grinding force control of industrial robot belts,a constant force control strategy combining fuzzy control and proportion ...Aiming at solving the problems of response lag and lack of precision and stability in constant grinding force control of industrial robot belts,a constant force control strategy combining fuzzy control and proportion integration differentiation(PID)was proposed by analyzing the signal transmission process and the dynamic characteristics of the grinding mechanism.The simulation results showed that compared with the classical PID control strategy,the system adjustment time was shortened by 98.7%,the overshoot was reduced by 5.1%,and the control error was 0.2%-0.5%when the system was stabilized.The optimized fuzzy control system had fast adjustment speeds,precise force control and stability.The experimental analysis of the surface morphology of the machined blade was carried out by the industrial robot abrasive grinding mechanism,and the correctness of the theoretical analysis and the effectiveness of the control strategy were verified.展开更多
The quantum bacterial foraging optimization(QBFO)algorithm has the characteristics of strong robustness and global searching ability. In the classical QBFO algorithm, the rotation angle updated by the rotation gate is...The quantum bacterial foraging optimization(QBFO)algorithm has the characteristics of strong robustness and global searching ability. In the classical QBFO algorithm, the rotation angle updated by the rotation gate is discrete and constant,which cannot affect the situation of the solution space and limit the diversity of bacterial population. In this paper, an improved QBFO(IQBFO) algorithm is proposed, which can adaptively make the quantum rotation angle continuously updated and enhance the global search ability. In the initialization process, the modified probability of the optimal rotation angle is introduced to avoid the existence of invariant solutions. The modified operator of probability amplitude is adopted to further increase the population diversity.The tests based on benchmark functions verify the effectiveness of the proposed algorithm. Moreover, compared with the integerorder PID controller, the fractional-order proportion integration differentiation(PID) controller increases the complexity of the system with better flexibility and robustness. Thus the fractional-order PID controller is applied to the servo system. The tuning results of PID parameters of the fractional-order servo system show that the proposed algorithm has a good performance in tuning the PID parameters of the fractional-order servo system.展开更多
An improved particle swarm algorithm based on the D-Tent chaotic model is put forward aiming at the standard particle swarm algorithm. The convergence rate of the late of proposed algorithm is improved by revising the...An improved particle swarm algorithm based on the D-Tent chaotic model is put forward aiming at the standard particle swarm algorithm. The convergence rate of the late of proposed algorithm is improved by revising the inertia weight of global optimal particles and the introduction of D-Tent chaotic sequence. Through the test of typical function and the autotuning test of proportionalintegral-derivative （PID） parameter, finally a simulation is made to the servo control system of a permanent magnet synchronous motor （PMSM） under double-loop control of rotating speed and current by utilizing the chaotic particle swarm algorithm. Studies show that the proposed algorithm can reduce the iterative times and improve the convergence rate under the condition that the global optimal solution can be got.展开更多
The technology of attitude control for quadrotor unmanned aerial vehicles(UAVs) is one of the most important UAVs' research areas.In order to achieve a satisfactory operation in quadrotor UAVs having proportional ...The technology of attitude control for quadrotor unmanned aerial vehicles(UAVs) is one of the most important UAVs' research areas.In order to achieve a satisfactory operation in quadrotor UAVs having proportional integration differential(PID) controllers,it is necessary to appropriately adjust the controller coefficients which are dependent on dynamic parameters of the quadrotor UAV and any changes in parameters and conditions could affect desired performance of the controller.In this paper,combining with PID control and fuzzy logic control,a kind of fuzzy self-adaptive PID control algorithm for attitude stabilization of the quadrotor UAV was put forward.Firstly,the nonlinear model of six degrees of freedom(6-DOF) for quadrotor UAV is established.Secondly,for obtaining the attitude of quadrotor,attitude data fusion using complementary filtering is applied to improving the measurement accuracy and dynamic performance.Finally,the attitude stabilization control simulation model of the quadrotor UAV is build,and the self-adaptive fuzzy parameter tuning rules for PID attitude controller are given,so as to realize the online self-tuning of the controller parameters.Simulation results show that comparing with the conventional PID controller,this attitude control algorithm of fuzzy self-adaptive PID has a better dynamic response performance.展开更多
A PID parameters tuning and optimization method for a turbine engine based on the simplex search method was proposed. Taking time delay of combustion and actuator into account, a simulation model of a PID control syst...A PID parameters tuning and optimization method for a turbine engine based on the simplex search method was proposed. Taking time delay of combustion and actuator into account, a simulation model of a PID control system for a turbine engine was developed. A performance index based on the integral of absolute error （IAE） was given as an objective function of optimization. In order to avoid the sensitivity that resulted from the initial values of the simplex search method, the traditional Ziegler-Nichols method was used to tune PID parameters to obtain the initial values at first, then the simplex search method was applied to optimize PID parameters for the turbine engine. Simulation results indicate that the simplex search method is a reasonable and effective method for PID controller parameters tuning and optimization.展开更多
隧道炉温度控制是焙烤食品成型质量的关键影响因素。针对具有大惯性、大滞后特征的燃气隧道炉温控系统,提出采用模糊比例-积分-微分(Proportion Integral Differential,PID)控制的炉温控制方法。根据炉温系统的特性构建数学模型,利用SIM...隧道炉温度控制是焙烤食品成型质量的关键影响因素。针对具有大惯性、大滞后特征的燃气隧道炉温控系统,提出采用模糊比例-积分-微分(Proportion Integral Differential,PID)控制的炉温控制方法。根据炉温系统的特性构建数学模型,利用SIMULINK构建传统PID控制与模糊PID控制的仿真模型,并模拟温度扰动对系统的影响。仿真结果显示,相较于传统PID控制,模糊PID控制具有上升时间短、超调量小、调节时间快、抗干扰能力强等优点,能够满足燃气隧道炉对温度控制的要求。展开更多
针对传统比例-积分-微分(Proportion Integral Differential,PID)控制方式存在的缺点,提出一种基于牛顿-拉夫逊算法(Newton-Raphson-Based Optimizer,NRBO)的采煤机牵引速度控制方法,并在SIMULINK中搭建仿真模型进行仿真分析。仿真结果...针对传统比例-积分-微分(Proportion Integral Differential,PID)控制方式存在的缺点,提出一种基于牛顿-拉夫逊算法(Newton-Raphson-Based Optimizer,NRBO)的采煤机牵引速度控制方法,并在SIMULINK中搭建仿真模型进行仿真分析。仿真结果表明,与传统PID控制器相比,设计的NRBO-PID控制器达到给定速度的调节时间减少2.5%,没有超调量;当负载突变时,NRBO-PID达到稳定的调节时间减少1%,抗干扰能力更强。这说明NRBO-PID对采煤机牵引速度的控制精度更高、响应更快。展开更多
An enhanced least mean square(LMS)error identification algorithm integrated with Kalman filtering is proposed to resolve accuracy degradation induced by nonlinear dynamics and parameter uncertainties in continuous rot...An enhanced least mean square(LMS)error identification algorithm integrated with Kalman filtering is proposed to resolve accuracy degradation induced by nonlinear dynamics and parameter uncertainties in continuous rotary electro-hydraulic servo systems.This enhancement accelerates convergence and improves accuracy compared with traditional LMS.A fifth-order identification mod-el is developed based on valve-controlled hydraulic motors,with parameters identified using Kalman filter state estimation and gradient smoothing.The results indicate that the improved LMS effectively enhances parameter identification.An advanced disturbance rejection controller(ADRC)is de-signed,and its performance is compared with an optimal proportional integral derivative(PID)con-troller through Simulink simulations.The results show that the ADRC fulfills the control specifications and expands the system’s operational bandwidth.展开更多
针对比例-积分-微分(Proportional Integral Derivative,PID)控制系统,以恩平20-4组块动力定位(Dynamic Positioning,DP)浮托为依托,采用经验参数法与控制变量法相结合的方法,研究PID控制系统中比例参数K_(p)和微分参数K_(d)对浮托船定...针对比例-积分-微分(Proportional Integral Derivative,PID)控制系统,以恩平20-4组块动力定位(Dynamic Positioning,DP)浮托为依托,采用经验参数法与控制变量法相结合的方法,研究PID控制系统中比例参数K_(p)和微分参数K_(d)对浮托船定位精度(偏移半径)和推进器利用效率的影响。结果表明,随着K p的增大,推进器利用效率增加,甚至出现过盈的现象,偏移半径则是先减小后增大。采用控制变量法对K_(d)取值进行验证,表明随着K_(d)的增大,推进器利用效率增加,偏移半径反而有增大的趋势。研究为DP数值模拟中PID参数的选择提供依据。展开更多
将神经网络与比例-积分-微分(Proportion Integral Differential,PID)相结合,设计电力可编程逻辑控制器(Programmable Logic Controller,PLC)高精度温控方法。选用GX20MH01型号的温度传感器采集温度数据;选择多层前馈神经网络作为神经...将神经网络与比例-积分-微分(Proportion Integral Differential,PID)相结合,设计电力可编程逻辑控制器(Programmable Logic Controller,PLC)高精度温控方法。选用GX20MH01型号的温度传感器采集温度数据;选择多层前馈神经网络作为神经网络结构,计算网络传播数据的误差;通过神经元输出的激活数值,引进PID控制算法,整定电力系统控制器温度参数;基于专家经验知识,将输入变量划分为若干个模糊集合,以此为依据设计模糊控制规则,高精度控制电力PLC温度。对比实验结果表明:应用设计的方法进行温度控制后,电力PLC温度值稳定在目标值,波动范围极小,控制效果良好。展开更多
通信电源需应对复杂的负载变化和电源波动,而传统稳压控制方法难以满足高动态响应的要求。模糊比例-积分-微分(Proportional Integral Differential,PID)适用于非线性和时变环境下的电源稳压问题。设计一种基于模糊PID控制的通信电源动...通信电源需应对复杂的负载变化和电源波动,而传统稳压控制方法难以满足高动态响应的要求。模糊比例-积分-微分(Proportional Integral Differential,PID)适用于非线性和时变环境下的电源稳压问题。设计一种基于模糊PID控制的通信电源动态稳压控制系统,分析模糊PID控制器的设计方法、模糊PID控制参数转换机制以及通信电源动态稳压控制方案,并结合实验验证了其优越的动态响应能力和稳压精度,展现了模糊PID控制在通信电源管理中的应用潜力。展开更多
基金Civil Project of China Aerospace Science and Technology CorporationUniversity-Industry Collaborative Education Program of Ministry of Education of China(No.220906517214433)。
文摘Aiming at solving the problems of response lag and lack of precision and stability in constant grinding force control of industrial robot belts,a constant force control strategy combining fuzzy control and proportion integration differentiation(PID)was proposed by analyzing the signal transmission process and the dynamic characteristics of the grinding mechanism.The simulation results showed that compared with the classical PID control strategy,the system adjustment time was shortened by 98.7%,the overshoot was reduced by 5.1%,and the control error was 0.2%-0.5%when the system was stabilized.The optimized fuzzy control system had fast adjustment speeds,precise force control and stability.The experimental analysis of the surface morphology of the machined blade was carried out by the industrial robot abrasive grinding mechanism,and the correctness of the theoretical analysis and the effectiveness of the control strategy were verified.
基金supported by the National Natural Science Foundation of China(6137415361473138)+2 种基金Natural Science Foundation of Jiangsu Province(BK20151130)Six Talent Peaks Project in Jiangsu Province(2015-DZXX-011)China Scholarship Council Fund(201606845005)
文摘The quantum bacterial foraging optimization(QBFO)algorithm has the characteristics of strong robustness and global searching ability. In the classical QBFO algorithm, the rotation angle updated by the rotation gate is discrete and constant,which cannot affect the situation of the solution space and limit the diversity of bacterial population. In this paper, an improved QBFO(IQBFO) algorithm is proposed, which can adaptively make the quantum rotation angle continuously updated and enhance the global search ability. In the initialization process, the modified probability of the optimal rotation angle is introduced to avoid the existence of invariant solutions. The modified operator of probability amplitude is adopted to further increase the population diversity.The tests based on benchmark functions verify the effectiveness of the proposed algorithm. Moreover, compared with the integerorder PID controller, the fractional-order proportion integration differentiation(PID) controller increases the complexity of the system with better flexibility and robustness. Thus the fractional-order PID controller is applied to the servo system. The tuning results of PID parameters of the fractional-order servo system show that the proposed algorithm has a good performance in tuning the PID parameters of the fractional-order servo system.
基金supported by the National Natural Science Foundation of China(61301011)the Fundamental Research Funds for the Central Universities(HIT.NSRIF.2012010)+1 种基金the China Postdoctoral Science Foundation(2013M540279)the Heilongjiang Postdoctoral Financial Assistance(LBH-Z11157)
文摘An improved particle swarm algorithm based on the D-Tent chaotic model is put forward aiming at the standard particle swarm algorithm. The convergence rate of the late of proposed algorithm is improved by revising the inertia weight of global optimal particles and the introduction of D-Tent chaotic sequence. Through the test of typical function and the autotuning test of proportionalintegral-derivative （PID） parameter, finally a simulation is made to the servo control system of a permanent magnet synchronous motor （PMSM） under double-loop control of rotating speed and current by utilizing the chaotic particle swarm algorithm. Studies show that the proposed algorithm can reduce the iterative times and improve the convergence rate under the condition that the global optimal solution can be got.
基金National Natural Science Foundation of China(No.61374114)Natural Science Foundation of Liaoning Province,China(No.2015020022)the Fundamental Research Funds for the Central Universities,China(No.3132015039)
文摘The technology of attitude control for quadrotor unmanned aerial vehicles(UAVs) is one of the most important UAVs' research areas.In order to achieve a satisfactory operation in quadrotor UAVs having proportional integration differential(PID) controllers,it is necessary to appropriately adjust the controller coefficients which are dependent on dynamic parameters of the quadrotor UAV and any changes in parameters and conditions could affect desired performance of the controller.In this paper,combining with PID control and fuzzy logic control,a kind of fuzzy self-adaptive PID control algorithm for attitude stabilization of the quadrotor UAV was put forward.Firstly,the nonlinear model of six degrees of freedom(6-DOF) for quadrotor UAV is established.Secondly,for obtaining the attitude of quadrotor,attitude data fusion using complementary filtering is applied to improving the measurement accuracy and dynamic performance.Finally,the attitude stabilization control simulation model of the quadrotor UAV is build,and the self-adaptive fuzzy parameter tuning rules for PID attitude controller are given,so as to realize the online self-tuning of the controller parameters.Simulation results show that comparing with the conventional PID controller,this attitude control algorithm of fuzzy self-adaptive PID has a better dynamic response performance.
文摘A PID parameters tuning and optimization method for a turbine engine based on the simplex search method was proposed. Taking time delay of combustion and actuator into account, a simulation model of a PID control system for a turbine engine was developed. A performance index based on the integral of absolute error （IAE） was given as an objective function of optimization. In order to avoid the sensitivity that resulted from the initial values of the simplex search method, the traditional Ziegler-Nichols method was used to tune PID parameters to obtain the initial values at first, then the simplex search method was applied to optimize PID parameters for the turbine engine. Simulation results indicate that the simplex search method is a reasonable and effective method for PID controller parameters tuning and optimization.
文摘隧道炉温度控制是焙烤食品成型质量的关键影响因素。针对具有大惯性、大滞后特征的燃气隧道炉温控系统,提出采用模糊比例-积分-微分(Proportion Integral Differential,PID)控制的炉温控制方法。根据炉温系统的特性构建数学模型,利用SIMULINK构建传统PID控制与模糊PID控制的仿真模型,并模拟温度扰动对系统的影响。仿真结果显示,相较于传统PID控制,模糊PID控制具有上升时间短、超调量小、调节时间快、抗干扰能力强等优点,能够满足燃气隧道炉对温度控制的要求。
文摘针对传统比例-积分-微分(Proportion Integral Differential,PID)控制方式存在的缺点,提出一种基于牛顿-拉夫逊算法(Newton-Raphson-Based Optimizer,NRBO)的采煤机牵引速度控制方法,并在SIMULINK中搭建仿真模型进行仿真分析。仿真结果表明,与传统PID控制器相比,设计的NRBO-PID控制器达到给定速度的调节时间减少2.5%,没有超调量;当负载突变时,NRBO-PID达到稳定的调节时间减少1%,抗干扰能力更强。这说明NRBO-PID对采煤机牵引速度的控制精度更高、响应更快。
基金Supported by the National Natural Science Foundation of China(No.52375037)the Outstanding Youth of Pyramid Talent Training Project of Beijing University of Civil Engineering and Architecture(No.GDRC 20220801)+1 种基金the Graduate Innovation Fund Project of Beijing University of Civil Engineering and Architecture(No.PG2025160)the Special Fund for Cultivation Projects of Beijing University of Civil Engineering and Architecture(No.X24026).
文摘An enhanced least mean square(LMS)error identification algorithm integrated with Kalman filtering is proposed to resolve accuracy degradation induced by nonlinear dynamics and parameter uncertainties in continuous rotary electro-hydraulic servo systems.This enhancement accelerates convergence and improves accuracy compared with traditional LMS.A fifth-order identification mod-el is developed based on valve-controlled hydraulic motors,with parameters identified using Kalman filter state estimation and gradient smoothing.The results indicate that the improved LMS effectively enhances parameter identification.An advanced disturbance rejection controller(ADRC)is de-signed,and its performance is compared with an optimal proportional integral derivative(PID)con-troller through Simulink simulations.The results show that the ADRC fulfills the control specifications and expands the system’s operational bandwidth.
文摘针对比例-积分-微分(Proportional Integral Derivative,PID)控制系统,以恩平20-4组块动力定位(Dynamic Positioning,DP)浮托为依托,采用经验参数法与控制变量法相结合的方法,研究PID控制系统中比例参数K_(p)和微分参数K_(d)对浮托船定位精度(偏移半径)和推进器利用效率的影响。结果表明,随着K p的增大,推进器利用效率增加,甚至出现过盈的现象,偏移半径则是先减小后增大。采用控制变量法对K_(d)取值进行验证,表明随着K_(d)的增大,推进器利用效率增加,偏移半径反而有增大的趋势。研究为DP数值模拟中PID参数的选择提供依据。
文摘将神经网络与比例-积分-微分(Proportion Integral Differential,PID)相结合,设计电力可编程逻辑控制器(Programmable Logic Controller,PLC)高精度温控方法。选用GX20MH01型号的温度传感器采集温度数据;选择多层前馈神经网络作为神经网络结构,计算网络传播数据的误差;通过神经元输出的激活数值,引进PID控制算法,整定电力系统控制器温度参数;基于专家经验知识,将输入变量划分为若干个模糊集合,以此为依据设计模糊控制规则,高精度控制电力PLC温度。对比实验结果表明:应用设计的方法进行温度控制后,电力PLC温度值稳定在目标值,波动范围极小,控制效果良好。
文摘通信电源需应对复杂的负载变化和电源波动,而传统稳压控制方法难以满足高动态响应的要求。模糊比例-积分-微分(Proportional Integral Differential,PID)适用于非线性和时变环境下的电源稳压问题。设计一种基于模糊PID控制的通信电源动态稳压控制系统,分析模糊PID控制器的设计方法、模糊PID控制参数转换机制以及通信电源动态稳压控制方案,并结合实验验证了其优越的动态响应能力和稳压精度,展现了模糊PID控制在通信电源管理中的应用潜力。
