共查询到19条相似文献,搜索用时 109 毫秒
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针对倒立摆视觉实时控制系统中,通过每帧图像处理检测小车位移和摆杆偏角带来的时变图像处理计算时间,直接影响控制系统采样周期和系统性能的问题,不同于目前不考虑图像处理计算时间或将其视为定时滞进行倒立摆视觉实时控制的研究方法,本文首先构建了倒立摆视觉伺服控制实验平台,考虑倒立摆的小车与摆杆特征,提出了小车位移和摆杆偏角的实时计算方法;然后统计分析了图像处理计算时间的特性并设计了视觉传感事件触发采样策略,进一步刻画了时变时延与计算时间的直接关系,进而建立了带有时变计算时延的倒立摆视觉控制系统闭环模型,证明了系统稳定性并建立了反映图像处理计算时间与系统稳定性之间的关系.最后,仿真和实时控制实验验证了所提方法的可行性和有效性. 相似文献
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倒立摆控制系统是一个复杂的、不稳定的、非线性系统,对倒立摆系统的研究能有效的反映控制中的许多典型问题。对一级直线型倒立摆,首先运用牛顿运动定律建立倒立摆系统的运动方程,进而求出系统的状态空间表达式,建立数学模型。其次运用状态反馈极点配置法,以小车的位移、速度,摆杆与竖直向上的偏角、摆角变化速度作为四个状态变量,由给定的控制要求求出状态反馈增益矩阵,将极点配置在控制要求的位置。另外考虑到系统的某些状态如小车速度和摆杆角速度不容易直接测量等,本文分别基于小车和摆杆子系统设计了两个全维观测器,分别对状态量进行了重构并给出了仿真结果分析。 相似文献
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倒立摆的一种模糊控制方法 总被引:1,自引:1,他引:1
提出一种模糊控制方案,实现对倒立摆系统的平衡控制.针对倒立摆系统多变量的特性,采用双模糊控制器方案,分别对摆杆倾角和小车位移设计模糊控制器,大大降低了设计难度;为了实现对摆角和位移双重控制的功能,采用两个控制器轮流控制的策略,当摆角偏差或角速度值较大时,摆角控制器起作用,保持摆杆的垂直,反之,位移控制器起作用,调整小车位置不越界.在实际的物理设备上进行了实时控制实验,实验结果验证了方案的正确性和有效性. 相似文献
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针对基于视觉传感的倒立摆实时控制系统中,通过每帧图像计算小车位移和摆杆偏角产生的时变计算时间和计算误差直接影响控制系统性能甚至导致系统失稳问题,不同于目前不考虑计算时间和计算误差或将计算时间视为定时滞进行研究倒立摆视觉实时控制方法,本文首先创新设计了新型的倒立摆视觉伺服控制实验平台,然后设计了一种基于事件触发机制的工业图像采集策略,提出了考虑小车和摆杆特征的小车位移和摆杆偏角计算方法,并统计分析了图像处理计算时间和计算误差特性;进一步建立了融合计算时间和计算误差的闭环控制系统模型,理论证明系统的稳定性并建立了反映计算时间与系统稳定性能之间关系,给出了系统对计算误差的H∞扰动抑制水平γ和控制器设计方法.最后,仿真和实时控制实验验证了所提方法可行且有效. 相似文献
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倒立摆的双闭环选择型模糊控制设计及仿真 总被引:5,自引:0,他引:5
针对多变量、非线性、强耦合性的倒立摆系统 ,采用牛顿 -欧拉法建立了其动力学方程 ,并进行了线性化处理 ,得到了状态空间模型 ,并提出一种双闭环选择型模糊控制方案。该方案通过一个选择型开关将两个模糊控制器的工作有机地统一起来 ,实现了摆杆角度与小车位置的双重控制功能 ,而且降低了模糊控制器的设计难度。最后在MATLAB环境下进行了计算机仿真 ,仿真结果表明 ,摆杆角度和小车位置的控制过程均具有良好的动态性能和稳态性能 ,验证了建模的正确性和控制方案的有效性 相似文献
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二轮倒立摆小车要求其在控制摆杆稳定的同时在水平面上自由行走,对控制的时效性上提出了严格的要求.在此基础上为了实现二轮小车倒立摆的超声波避障,采用以人工势场法为主,栅格法为辅的方案实施避障.首先,根据势场法快速反应的特点迅速给出避障决策.当势场法不能准确给出正确决策的时候,采用栅格法对其做辅助决策,弥补人工势场法的不足.仿真结果表明:基于以人工势场法为主,栅格法为辅的避障方法能有效的实现二轮倒立摆小车的避障功能. 相似文献
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基于滑模变结构的倒立摆系统稳定控制 总被引:10,自引:1,他引:10
利用滑模变结构控制对一级倒立摆系统进行了有效控制.首先对一级倒立摆系统的模型进行线性化处理,再利用滑模变结构控制方法对此模型中摆的镇定、台车位置的调节和系统参数不确定性设计了具体的控制规律,并使用饱和函数的方法抑制系统的抖振.最后在Matlab/Simulink上进行了仿真实验,实验结果说明滑模变结构控制方法是有效的. 相似文献
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研究平面二级倒立摆系统稳定性和速度特性优化问题,由于倒立摆系统的外界扰动的不确定性,建立平面二级倒立摆的数学模型,应用变结构控制理论(SMC)和模糊逻辑系统设计了自适应滑模控制器,把趋近律和切换控制的模糊化相结合,采用模糊系统调整趋近速率的大小,在加快趋近速度的同时用模糊逼近切换控制,为减少控制量的抖振和优化控制系统,同时倒立摆控制具有了滑模控制对外界扰动和参数摄动的不变性。进行仿真的结果验证了控制器的稳定性,表明控制器系统能保证在不同的运行条件下具有快速性和鲁棒性。 相似文献
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Chih‐Chen Yih 《Asian journal of control》2013,15(4):1201-1214
This paper uses sliding mode control to accomplish the objectives of swing‐up and stabilization of the cart‐pole underactuated system. The features of underactuated systems prohibit direct application of conventional sliding mode control for fully‐actuated systems. In this paper, we design a novel sliding mode control for the cart‐pole underactuated system so that the control goals can be achieved. In addition, by simply changing the parameters of the sliding surface, we use only one sliding mode control scheme to swing up and to stabilize the cart‐pole system. Using the sliding mode dynamics and the internal dynamics, we show that the proposed sliding mode control can swing up the cart‐pole system from the stable equilibrium and can stabilize the system to the unstable equilibrium. Our simulation results on a cart‐pole system demonstrate the feasibility of the proposed sliding mode control. The proposed control schemes, the stability analysis, and the numerical simulation provide a useful guideline for designing the sliding mode control for the cart‐pole underactuated system. 相似文献
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《Artificial Intelligence in Engineering》2001,15(3):297-308
A new fuzzy controller for stabilizing series-type double inverted pendulum systems is proposed based on the SIRMs (Single Input Rule Modules) dynamically connected fuzzy inference model. The controller deals with six input items. Each input item is provided with a SIRM and a dynamic importance degree (DID). The SIRM and the DID are set up such that the angular control of the upper pendulum takes the highest priority order over the angular control of the lower pendulum and the position control of the cart when the relative angle of the upper pendulum is big. By using the SIRMs and the DIDs, the control priority orders are automatically adjusted according to control situations. Simulation results show that the controller stabilizes series-type double inverted pendulum systems of different parameter values in about 10.0 s for a wide range of the initial angles. 相似文献
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Adaptive fuzzy sliding mode control of nonlinear system 总被引:7,自引:0,他引:7
Byungkook Yoo Woonchul Ham 《Fuzzy Systems, IEEE Transactions on》1998,6(2):315-321
In this paper, the fuzzy approximator and sliding mode control (SMC) scheme are considered. We propose two methods of adaptive SMC schemes that the fuzzy logic systems (approximators) are used to approximate the unknown system functions in designing the SMC of nonlinear system. In the first method, a fuzzy logic system is utilized to approximate the unknown function f of the nonlinear system xn= f(x, t)+b(x, t)u and the robust adaptive law is proposed to reduce the approximation errors between the true nonlinear functions and fuzzy approximators. In the second method, two fuzzy logic systems are utilized to approximate the f and b, respectively, and the control law, which is robust to approximation error is also designed. The stabilities of proposed control schemes are proved and these schemes are applied to an inverted pendulum system. The comparisons between the proposed control schemes are shown in simulations 相似文献
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A novel fuzzy terminal sliding mode control (FTSMC) scheme is proposed for position tracking of a class of second-order nonlinear uncertain system. In the proposed scheme, we integrate input-output linearization technique to cancel the nonlinearities. By using a function-augmented sliding hyperplane, it is guaranteed that the output tracking error converges to zero in finite time which can be set arbitrarily. The proposed scheme eliminates reaching phase problem, so that the closed-loop system always shows invariance property to parameter uncertainties. Fuzzy logic systems are used to approximate the unknown system functions and switch item. Robust adaptive law is proposed to reduce approximation errors between true nonlinear functions and fuzzy systems, thus chattering phenomenon can be eliminated. Stability of the proposed control scheme is proved and the scheme is applied to an inverted pendulum system. Simulation studies are provided to confirm performance and effectiveness of the proposed control approach. 相似文献
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A novel fuzzy terminal sliding mode control (FTSMC) scheme is proposed for position tracking of a class of second-order nonlinear uncertain system. In the proposed scheme, we integrate input-output linearization technique to cancel the nonlinearities. By using a function-augmented sliding hyperplane, it is guaranteed that the output tracking error converges to zero in finite time which can be set arbitrarily. The proposed scheme eliminates reaching phase problem, so that the closed-loop system always shows invariance property to parameter uncertainties. Fuzzy logic systems are used to approximate the unknown system functions and switch item. Robust adaptive law is proposed to reduce approximation errors between true nonlinear functions and fuzzy systems, thus chattering phenomenon can be eliminated. Stability of the proposed control scheme is proved and the scheme is applied to an inverted pendulum system. Simulation studies are provided to confirm performance and effectiveness of the proposed control approach. 相似文献
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In this paper, using the concept of sliding mode control SMC, a fuzzy sliding mode controller FSMC, which is synthesized by linguistic control rules, is proposed. Two sets of fuzzy rule bases are utilized to represent the controlled system. The membership functions of the THEN-part, which is used to construct a suitable equivalent control of SMC, are changed according to adaptive law. In particular, only one adaptive factor is characterized to adapt the membership functions instead of several ones in conventional adaptive approaches. Under this design scheme, we not only maintain the distribution of membership functions over state space but also reduce considerably computing time. The proposed indirect adaptive FSMC is synthesized through the following stages. First, we construct the fuzzy rule bases according to the common sense of SMC to describe the model of the controlled system, and define the fuzzy sets whose membership functions are equally distributed in state space. Then, the derived adaptive law is used to adjust the membership functions of the THEN-part to approximate an equivalent control without knowing the mathematical model of the controlled system. Third, a hitting control is developed to guarantee the stability of the control system. Finally, we smooth the hitting control via proposed heuristic control rules. We apply this FSMC to controlling a nonlinear inverted pendulum system to confirm the validity of the proposed approach. 相似文献