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Adaptive fuzzy sensor failure compensation for active suspension systems with multiple sensor failures 多传感器故障主动悬架系统的自适应模糊传感器故障补偿
IF 4.1 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2021-09-06 DOI: 10.1080/21642583.2021.1969700
Yixian Fang, Rui Bai
This paper has studied the adaptive fuzzy fault-tolerant control (FTC) for active suspension systems via the sensor failure compensation method. In the control design, fuzzy logic systems (FLSs) are used to identify the unknown nonlinear dynamics, and the projection technique is utilized to deal with the multiple sensor failures. Combining with the backstepping technique, a novel FTC method has been developed. The proposed control method can guarantee that all the signals in the closed-loop system are all bounded, and the tracking error can converge to the neighbourhood of the origin. Finally, a simulation for the quarter active suspension system is given to verify the effectiveness of the developed control scheme.
本文采用传感器故障补偿方法研究了主动悬架系统的自适应模糊容错控制。在控制设计中,模糊逻辑系统用于识别未知的非线性动力学,并利用投影技术处理多传感器故障。结合反推技术,提出了一种新的FTC方法。所提出的控制方法可以保证闭环系统中的所有信号都是有界的,并且跟踪误差可以收敛到原点的邻域。最后,对四分之一主动悬架系统进行了仿真,验证了所提控制方案的有效性。
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引用次数: 1
Event-triggered control for trajectory tracking of quadrotor unmanned aerial vehicle 四旋翼无人机轨迹跟踪的事件触发控制
IF 4.1 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2021-09-06 DOI: 10.1080/21642583.2021.1975321
Peiyun Ye, Yang Yu, Wei Wang
This paper studies the trajectory tracking problem of quadrotor unmanned aerial vehicle (QUAV) with model nonlinearities and external disturbances via event-triggered control technique. Dividing the QUAV system into position subsystem and attitude subsystem, an adaptive fuzzy control algorithm is designed in position subsystem to provide desired pitch and roll angles for the attitude subsystem. Then, by constructing an event-triggered mechanism, an event-triggered adaptive fuzzy control algorithm is presented in the attitude subsystem, where the control law and the fuzzy parameter adaptive law are updated in an aperiodic form. Based on Lyapunov stability theory, it is proved that all signals in the closed-loop system are uniformly ultimately bounded via the impulsive dynamical system tool, and the tracking errors converge to a small neighbourhood of the origin. Besides, it is proved that there is a positive lower bound between the intersample time to avoid Zeno behaviour. Finally, simulation results illustrate that the proposed control scheme can guarantee the trajectory tracking performance of the QUAV system, while it can reduce the update frequency of the controller and improve the resource utilization.
本文采用事件触发控制技术研究了具有模型非线性和外部扰动的四旋翼无人机轨迹跟踪问题。将QUAV系统分为位置子系统和姿态子系统,在位置子系统中设计了一种自适应模糊控制算法,为姿态子系统提供所需的俯仰角和滚转角。然后,通过构造事件触发机制,在姿态子系统中提出了一种事件触发自适应模糊控制算法,其中控制律和模糊参数自适应律以非周期形式更新,利用脉冲动力系统工具证明了闭环系统中的所有信号最终都是一致有界的,并且跟踪误差收敛到原点的一个小邻域。此外,还证明了避免Zeno行为的样本间时间之间存在正下界。最后,仿真结果表明,所提出的控制方案可以保证QUAV系统的轨迹跟踪性能,同时可以降低控制器的更新频率,提高资源利用率。
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引用次数: 1
Adaptive event-triggered control for new type tyre systems based on vehicles 基于车辆的新型轮胎系统的自适应事件触发控制
IF 4.1 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2021-07-27 DOI: 10.1080/21642583.2021.1954105
Ruitong Wu, Kewen Li
ABSTRACT In this article, an adaptive event-triggered control scheme is first investigated for new type tyre systems based on vehicle. The intricate systems are transformed into a nonlinear model to research. The improved event-triggered mechanism (ETM) is proposed to enhance effectively the data transmission capacity of the systems and reduce the communication bandwidth. For the sake of conquering the problem of ‘explosion of complexity’ in traditional adaptive backstepping recursive design process, the dynamic surface control (DSC) technique is introduced in control design process. Based on the Lyapunov stability theory, the developed control scheme guarantees all the variables in the closed-loop system are semi-globally uniformly ultimately bounded (SGUUB). Finally, the simulation results verify the rationality and effectiveness of the proposed control scheme.
本文首先研究了一种基于车辆的新型轮胎系统的自适应事件触发控制方案。将复杂的系统转化为非线性模型进行研究。为了有效提高系统的数据传输能力,减少通信带宽,提出了改进的事件触发机制(ETM)。为了克服传统自适应反步递归设计过程中存在的“复杂度爆炸”问题,在控制设计过程中引入了动态曲面控制技术。该控制方案基于Lyapunov稳定性理论,保证了闭环系统中所有变量都是半全局一致最终有界的。最后,仿真结果验证了所提控制方案的合理性和有效性。
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引用次数: 1
Adaptive control for the nonlinear suspension systems with stochastic disturbances and unknown time delay 随机扰动未知时滞非线性悬架系统的自适应控制
IF 4.1 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2021-07-11 DOI: 10.1080/21642583.2021.1949403
Dongmei Wang
In this work, an adaptive control problem is investigated for the nonlinear active suspension systems (ASSs) with stochastic disturbances and time delay. Also, in the suspension system, the nonlinearity of the springs and the dampers are considered. In order to be closer to the actual system, the external random disturbances are not neglected in this paper. It is worth mentioning that unknown time-varying delay is considered in this study to facilitate the treatment of transmission time delay. Based on Lyapunov theory and backstepping technique, the presented adaptive controller is able to ensure that all the signals in close-loop system are uniformly ultimately bounded in probability. Finally, the simulation results further illustrate the effectiveness of the proposed approach.
本文研究了具有随机扰动和时滞的非线性主动悬架系统的自适应控制问题。此外,在悬架系统中,还考虑了弹簧和阻尼器的非线性。为了更接近实际系统,本文不忽略外部随机扰动。值得一提的是,本研究考虑了未知时变时延,以便于处理传输时延。基于李雅普诺夫理论和反推技术,所提出的自适应控制器能够确保闭环系统中的所有信号在概率上一致最终有界。最后,仿真结果进一步验证了该方法的有效性。
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引用次数: 2
SPMSM sensorless control of a new non-singular fast terminal sliding mode speed controller SPMSM无传感器控制的一种新型非奇异快端滑模速度控制器
IF 4.1 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2021-05-03 DOI: 10.1080/21642583.2020.1848657
Yuhao Zhu, Yongjin Yu, C. Xiao, Bo Wang
ABSTRACT In the SPMSM no-speed control system, the traditional SMC speed controlling led to a difference in adjustment speed, a large amount of overshoot and obvious chattering. In order to solve this problem, a new non-singular fast Terminal-SMC speed controller is designed and the continuous function υ(s) is used to replace the traditional symbolic function, which effectively improves the observation accuracy, and reduces the system chattering. The Lyapunov function is designed to prove the system’s stability. The simulation results show that the new NSFT-SMC has faster responded speed, stronger system robustness, and less chattering during stable operation. Comparing with traditional SMC speed control and hyperbolic tangent function SMC speed control, it has better control performance.
摘要在SPMSM无调速控制系统中,传统的SMC调速方法存在调速速度差、超调量大、抖振明显等问题。为了解决这一问题,设计了一种新的非奇异快速Terminal-SMC速度控制器,并用连续函数υ(s)代替传统的符号函数,有效地提高了观测精度,减少了系统的抖振。设计了Lyapunov函数来证明系统的稳定性。仿真结果表明,新的NSFT-SMC在稳定运行时具有更快的响应速度、更强的系统鲁棒性和较小的抖振。与传统的SMC速度控制和双曲正切函数SMC速度控制相比,具有更好的控制性能。
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引用次数: 1
Adaptive neural tracking control for a class of nonlinear systems with input delay and saturation 一类具有输入时滞和饱和的非线性系统的自适应神经跟踪控制
IF 4.1 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2021-05-03 DOI: 10.1080/21642583.2020.1833786
Yadong Li, Bing Chen
For a class of non-strict-feedback nonlinear systems with input delay and saturation, the tracking control problem is addressed in this paper. An auxiliary system is constructed to handle the difficulty in control design caused by input delay. Moreover, hyperbolic tangent function is used to approximate the non-smooth saturation function to achieve controller design. The unknown nonlinear functions generated in backstepping control design are approximated by radial basis function neural networks. And then, with the help of backstepping approach, an adaptive neural control scheme is proposed. It is proved by Lyapunov stability theory that the tracking errors converge to a small neighbourhood of the origin and the other closed-loop signals are bounded. At last, a simulation example is able to verify the validity of this tracking control scheme.
针对一类具有输入延迟和饱和的非严格反馈非线性系统,研究了其跟踪控制问题。构造了一个辅助系统来处理输入延迟引起的控制设计困难。此外,采用双曲正切函数逼近非光滑饱和函数来实现控制器的设计。利用径向基函数神经网络对反步控制设计中产生的未知非线性函数进行逼近。然后,借助于backstepping方法,提出了一种自适应神经控制方案。李雅普诺夫稳定性理论证明了跟踪误差收敛于原点的一个小邻域,其他闭环信号是有界的。最后通过仿真实例验证了该跟踪控制方案的有效性。
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引用次数: 3
Adaptive neural network control for nonlinear non-strict feedback time-delay systems 非线性非严格反馈时滞系统的自适应神经网络控制
IF 4.1 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2021-05-03 DOI: 10.1080/21642583.2020.1833787
Yuanyuan Xu, Bing Chen
This paper focuses on adaptive neural control for a class of non-strict feedback nonlinear systems with state delays and input delay. By combining integral transformation with adaptive neural control approach, a backstepping-based adaptive neural control scheme is proposed. The suggested control schemes guarantees that the tracking error converges to a small neighbourhood of the origin, meanwhile, all the closed-loop signals remain bounded. Simulation examples are used to verify the effectiveness of the proposed method.
本文研究了一类具有状态时滞和输入时滞的非严格反馈非线性系统的自适应神经控制。将积分变换与自适应神经控制方法相结合,提出了一种基于反推的自适应神经控制方案。所提出的控制方案保证跟踪误差收敛到原点的一个小邻域,同时所有闭环信号保持有界。通过仿真实例验证了该方法的有效性。
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引用次数: 4
Event-triggered control for greenhouse temperature under natural ventilation based on computational fluid dynamics 基于计算流体动力学的自然通风条件下温室温度事件触发控制
IF 4.1 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2021-05-03 DOI: 10.1080/21642583.2020.1833788
Xinyi Sun, Hua Yang, Qi-Fang Liu, Yan-Hong Liu
In this paper, the event-triggered control for greenhouse temperature based on Computational Fluid Dynamics (CFD) is investigated. To overcome the deficiency of sensor which can only represent the temperature value of some points inside the greenhouse, CFD technology is used to simulate and output the temperature field data of the entire greenhouse. Furthermore, in order to reduce the network resource consumption, the event-triggered mechanism is adopted in CFD simulation output-controller channel. When the greenhouse temperature meets the event-triggered condition, the simulated data is transmitted to the controller. Moreover, multi-objective particle swarm optimization (MOPSO) is used to design the controller to solve the contradiction between energy consumption and control accuracy in the control process. Finally, a numerical simulation example is provided to illustrate the effectiveness of given event-triggered scheme for greenhouse temperature under natural ventilation based on CFD simulation. The simulation results show that the control scheme given in this paper can effectively regulate the greenhouse internal temperature and meet the control requirements.
本文研究了基于计算流体动力学(CFD)的温室温度事件触发控制。为了克服传感器只能代表温室内某些点的温度值的不足,采用CFD技术模拟并输出整个温室的温度场数据。此外,为了减少网络资源消耗,CFD仿真输出控制器通道采用了事件触发机制。当温室温度满足事件触发条件时,模拟数据被传输到控制器。此外,采用多目标粒子群优化(MOPSO)设计控制器,以解决控制过程中能耗与控制精度之间的矛盾。最后,通过数值模拟实例说明了基于CFD模拟的事件触发方案对自然通风条件下温室温度的有效性。仿真结果表明,本文给出的控制方案能够有效地调节温室内部温度,满足控制要求。
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引用次数: 2
Fault estimation for nonlinear systems with sensor gain degradation and stochastic protocol based on strong tracking filtering 基于强跟踪滤波和随机协议的传感器增益退化非线性系统故障估计
IF 4.1 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2021-05-03 DOI: 10.1080/21642583.2020.1833789
Jie Xu, Li Sheng, Ming Gao
This paper focuses on the fault estimation problem for a class of nonlinear systems with sensor gain degradation and stochastic protocol (SP) based on strong tracking filtering. The phenomenon of the sensor gain degradation is described by sequences of stochastic variables in a known interval. The stochastic protocol (SP) is used to deal with possible data conflicts in multi-signal transmission. The augmented system is constructed by combining the original system state vectors and the related faults into an augmented state vectors. The strong tracking filter (STF) is designed by introducing a fading factor into the filter structure to solve the problem of burst faults. Finally, a simulation example is given to verify the effectiveness and applicability of the proposed filter.
研究了一类具有传感器增益退化和基于强跟踪滤波的随机协议的非线性系统的故障估计问题。传感器增益退化现象由已知区间内的随机变量序列描述。随机协议(SP)用于处理多信号传输中可能出现的数据冲突。通过将原始系统状态向量和相关故障组合成增广状态向量来构造增广系统。强跟踪滤波器(STF)是通过在滤波器结构中引入衰落因子来解决突发故障问题的。最后,通过仿真实例验证了该滤波器的有效性和适用性。
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引用次数: 20
Sliding mode control of SEPIC converter based photovoltaic system 基于SEPIC变换器的光伏系统的滑模控制
IF 4.1 Q2 AUTOMATION & CONTROL SYSTEMS Pub Date : 2021-05-03 DOI: 10.1080/21642583.2021.1872043
Meng Zhang, N. Zhong, Mingyuan Ma
Photovoltaic (PV) energy can be considered to be as highly efficient energy source since it is ecofriendly, harmless and available endlessly. In order to improve the output power of photovoltaic cells, the maximum power point tracking technology is used in PV systems. This paper designs a sliding mode controller based on SEPIC converter to implement MPPT. The difference from other methods is that the proposed method uses the circuit output voltage U 0 in the closed-loop system, so that the controller has better control effect. The buck-boost feature of the SEPIC widens the applicable PV voltage and thus increases the adopted PV module flexibility. First, the photovoltaic array is modeled and the simulation results are analyzed in this paper. Then model and analyze the SEPIC circuit and derive a sliding mode control strategy based on this circuit. Finally, the results obtained in MATLAB/Simulink were compared with the conventional P&O algorithm and INC algorithm. The results show that the sliding mode controller proposed in this paper has faster speed and less oscillation when tracking the maximum power point (MPP).
光伏(PV)能源具有环保、无害、取之不竭的特点,是一种高效的能源。为了提高光伏电池的输出功率,在光伏系统中采用了最大功率点跟踪技术。本文设计了一种基于SEPIC变换器的滑模控制器来实现MPPT。与其他方法不同的是,本文提出的方法在闭环系统中使用电路输出电压U 0,使控制器具有更好的控制效果。SEPIC的降压特性拓宽了适用的光伏电压,从而增加了所采用的光伏组件的灵活性。本文首先对光伏阵列进行了建模,并对仿真结果进行了分析。然后对SEPIC电路进行建模和分析,并推导出基于该电路的滑模控制策略。最后,将MATLAB/Simulink中得到的结果与常规P&O算法和INC算法进行了比较。结果表明,本文提出的滑模控制器在跟踪最大功率点时具有更快的速度和更小的振荡。
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引用次数: 1
期刊
Systems Science & Control Engineering
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