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 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
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
Considering gravity change from ground alignment to space applications, a fuzzy proportional-integral-differential(PID)control strategy is proposed to make the space manipulator track the desired trajectories in diffe...Considering gravity change from ground alignment to space applications, a fuzzy proportional-integral-differential(PID)control strategy is proposed to make the space manipulator track the desired trajectories in different gravity environments. The fuzzy PID controller is developed by combining the fuzzy approach with the PID control method, and the parameters of the PID controller can be adjusted on line based on the ability of the fuzzy controller. Simulations using the dynamic model of the space manipulator have shown the effectiveness of the algorithm in the trajectory tracking problem. Compared with the results of conventional PID control,the control performance of the fuzzy PID is more effective for manipulator trajectory control.展开更多
A closed-chain robot has several advantages over an open-chain robot, such as high mechanical rigidity, high payload, high precision. Accurate trajectory control of a robot is essential in practical-use. This paper pr...A closed-chain robot has several advantages over an open-chain robot, such as high mechanical rigidity, high payload, high precision. Accurate trajectory control of a robot is essential in practical-use. This paper presents an adaptive proportional integral differential （PID） control algorithm based on radial basis function （RBF） neural network for trajectory tracking of a two-degree-of-freedom （2-DOF） closed-chain robot. In this scheme, an RBF neural network is used to approximate the unknown nonlinear dynamics of the robot, at the same time, the PID parameters can be adjusted online and the high precision can be obtained. Simulation results show that the control algorithm accurately tracks a 2-DOF closed-chain robot trajectories. The results also indicate that the system robustness and tracking performance are superior to the classic PID method.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
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
为解决高速公路爆胎车辆出现偏航的问题,借助ve DYNA软件进行了的仿真研究。在确定了爆胎车辆轨迹控制的评价指标后,采用模糊PID(Proportion Integral Differential)控制器,规划了爆胎后车辆的方向盘转角,代替驾驶员对爆胎车辆进行方向...为解决高速公路爆胎车辆出现偏航的问题,借助ve DYNA软件进行了的仿真研究。在确定了爆胎车辆轨迹控制的评价指标后,采用模糊PID(Proportion Integral Differential)控制器,规划了爆胎后车辆的方向盘转角,代替驾驶员对爆胎车辆进行方向控制。该方法结合模糊控制和传统PID控制的优点,针对车辆爆胎的复杂环境,自动整定PID控制参数,适应爆胎车辆的参数变化。仿真结果表明:基于模糊自整定PID的爆胎车辆轨迹控制可在保证车辆稳定行驶的同时控制车辆的行驶轨迹,使其在出现较小偏移后回到原路径,具有较好的适应性。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.
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 National High Technology Research and Development Program of China(863 Program)(No.2011AA)
文摘Considering gravity change from ground alignment to space applications, a fuzzy proportional-integral-differential(PID)control strategy is proposed to make the space manipulator track the desired trajectories in different gravity environments. The fuzzy PID controller is developed by combining the fuzzy approach with the PID control method, and the parameters of the PID controller can be adjusted on line based on the ability of the fuzzy controller. Simulations using the dynamic model of the space manipulator have shown the effectiveness of the algorithm in the trajectory tracking problem. Compared with the results of conventional PID control,the control performance of the fuzzy PID is more effective for manipulator trajectory control.
基金Project supported bY the National Natural Science Foundation of China （Grant No.50375085）, and the Natural Science Foundation of Shandong Province （Grant No.Y2002F13）
文摘A closed-chain robot has several advantages over an open-chain robot, such as high mechanical rigidity, high payload, high precision. Accurate trajectory control of a robot is essential in practical-use. This paper presents an adaptive proportional integral differential （PID） control algorithm based on radial basis function （RBF） neural network for trajectory tracking of a two-degree-of-freedom （2-DOF） closed-chain robot. In this scheme, an RBF neural network is used to approximate the unknown nonlinear dynamics of the robot, at the same time, the PID parameters can be adjusted online and the high precision can be obtained. Simulation results show that the control algorithm accurately tracks a 2-DOF closed-chain robot trajectories. The results also indicate that the system robustness and tracking performance are superior to the classic PID method.
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。
文摘为解决高速公路爆胎车辆出现偏航的问题,借助ve DYNA软件进行了的仿真研究。在确定了爆胎车辆轨迹控制的评价指标后,采用模糊PID(Proportion Integral Differential)控制器,规划了爆胎后车辆的方向盘转角,代替驾驶员对爆胎车辆进行方向控制。该方法结合模糊控制和传统PID控制的优点,针对车辆爆胎的复杂环境,自动整定PID控制参数,适应爆胎车辆的参数变化。仿真结果表明:基于模糊自整定PID的爆胎车辆轨迹控制可在保证车辆稳定行驶的同时控制车辆的行驶轨迹,使其在出现较小偏移后回到原路径,具有较好的适应性。
