共查询到20条相似文献，搜索用时 688 毫秒
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提出了一种模糊控制器的设计与仿真的实现方法,该方法利用MATLAB模糊控制工具箱中模糊控制器的控制规则和隶属度函数,建立模型,并进行模糊控制器设计与仿真。仿真结果比较表明,用模糊控制能够得到较好的动态响应性能、较高的稳态控制精度,适应性强,上升时间快,鲁棒性好,保持着模糊控制器对干扰较强的适应能力。 相似文献
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胡林静 《内蒙古科技与经济》2007,(4X):75-76
文章针对实验室的直升机比例模型，提出了一种PID控制与模糊监测相结合的控制方法，以提高系统的性能。仿真结果表明，所设计的控制器使直升机比例模型能在广泛的运行空间点上保持良好的稳定性和鲁棒性。 相似文献
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针对传统PID控制器调节时间较长、鲁棒性差、不利于改善控制系统的快速性的问题,提出把模糊理论与PID控制算法结合起来构成模糊一PID控制器。这种控制器能随着过程控制的要求在线自动整定合适的PID参数,从而充分发挥PID功能,达到更好的控制品质。给出了参数可调整的模糊自适应控制器的设计方法,并对其进行一个三阶系统的仿真。结果表明,参数可调整的模糊PID控制器在复杂的控制系统中能取得较常规PID控制器更好的控制效果,系统稳态和暂态性能指标完全得到进一步的提高。 相似文献
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常规PID控制在对象变化时,控制器的参数不能自动修改适应,无法很好地满足冷轧机厚度控制精度的要求。但是将模糊控制与PID控制相结合,利用模糊推理方法实现对PID参数的在线自整定,设计了一种模糊自适应PID控制器,这样就进一步完善了PID控制器的性能,提高了厚度控制系统的精度。通过simulink仿真,结果表明模糊自适应PID控制器自适应能力更强、响应快、稳定性好,同时也有更强的鲁棒性,能够使厚度控制得到满意的结果。 相似文献
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张建国 《科技成果管理与研究》2009,(10):84-85,90
挖掘机液压系统控制系统是一个大滞后、非线性系统,难于建立精确的数学模型,应用常规PID控制不能达到理想的控制效果。模糊PID控制是智能控制技术的一类,是解决复杂非线性对象控制问题的一个有效途径。所以,在液压控制系统中采用模糊PID控制器,使系统有较好的鲁棒性、控制精度及动态性能。模糊控制器采用8751单片机的软硬件实现,运行结果证明了这种控制方案的可行性。 相似文献
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在分析生物安全环境模糊控制系统的功能和琢理的基础上，提出了一种基于遗传算法的优化生物安全环境模糊控制器参数设计方法。仿真结果表明，与基本的模糊控制器相比，基于遗传算法设计出的生物安全环境模糊控制器，能够获得更好的控制性能。 相似文献
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胡林静 《内蒙古科技与经济》2007,(8)
文章针对实验室的直升机比例模型,提出了一种PID控制与模糊监测相结合的控制方法,以提高系统的性能.仿真结果表明,所设计的控制器使直升机比例模型能在广泛的运行空间点上保持良好的稳定性和鲁棒性. 相似文献
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基于压滤机电液系统难以建立起精确数学模型的特点,引入一解析的模糊PID控制器。根据增益和相位裕度的参数整定方法及其压滤机电液调速系统的近似模型,可以解析地推导出模糊PID控制器的参数。仿真结果表明模糊PID控制器在控制性能和鲁棒性方面都要优于传统的PID控制。 相似文献
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从隶属函数、控制规则、量化因子和比例因子等几个方面,详细介绍了遗传算法在模糊控制器中的应用原理和发展概况,并根据目前遗传模糊逻辑控制器设计中存在的问题,提出了该领域今后的研究重点和发展趋势,为从事遗传算法及模糊逻辑研究的技术人员提供了参考。 相似文献
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Omar Shaheen Ahmad M. El-Nagar Mohammad El-Bardini Nabila M. El-Rabaie 《Journal of The Franklin Institute》2018,355(3):1088-1106
This paper proposes a probabilistic fuzzy proportional - integral (PFPI) controller for controlling uncertain nonlinear systems. Firstly, the probabilistic fuzzy logic system (PFLS) improves the capability of the ordinary fuzzy logic system (FLS) to overcome various uncertainties in the controlled dynamical systems by integrating the probability method into the fuzzy logic system. Moreover, the input/output relationship for the proposed PFPI controller is derived. The resulting structure is equivalent to nonlinear PI controller and the equivalent gains for the proposed PFPI controller are a nonlinear function of input variables. These gains are changed as the input variables changed. The sufficient conditions for the proposed PFPI controller, which achieve the bounded-input bounded-output (BIBO) stability are obtained based on the small gain theorem. Finally, the obtained results indicate that the PFPI controller is able to reduce the effect of the system uncertainties compared with the fuzzy PI (FPI) controller. 相似文献
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Jing Zhang Jianwei Xia Wei Sun Zhen Wang Hao Shen 《Journal of The Franklin Institute》2019,356(18):11270-11284
In this paper, a command filter-based adaptive fuzzy controller is constructed for a class of nonlinear systems with uncertain disturbance. By using the error compensation signals and fuzzy logic system, a command filter-based control strategy is presented to make that the tracking error converge to an any small neighborhood of zero and all closed-loop signals are bounded. In the design procedure, fuzzy logic system is employed to estimate unknown package nonlinear functions, which avoids excessive and burdensome computations. The control scheme not only resolves the explosion of complexity problem but also eliminates the filtering error in finite-time. An example has evaluated the validity of the control method. 相似文献
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非线性不确定系统的模糊自适应 输出反馈跟踪 总被引：2，自引：0，他引：2
本文研究了非仿射非线性系统的模糊自适应 输出反馈跟踪。在非仿射非线性模型存在不确定的情况下，使用模糊自适应控制器对系统进行控制，并基于Lyapunov稳定性定理得出自适应律。通过解一个代数Riccati方程实现了 跟踪性能。估计状态通过引入高增益观测器得到，实现了系统的输出反馈控制。最后，通过对一个数值例子的仿真验证了算法的有效性。 相似文献
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一般的洗衣机模糊控制器都是基于经验的模糊控制,其相应的模糊语言规则并没有揭示输入输出的逻辑关系。一种基于逻辑的洗衣机控制器设计方法被提出。这个例子说明基于逻辑的模糊控制与基于经验的模糊控制相比,基于逻辑的模糊控制更合理更简便。通过控制输出的比较,说明在达到相同精度的条件下,基于逻辑的模糊控制需要计算量更少。 相似文献
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《Journal of The Franklin Institute》2022,359(1):392-414
The problem of decentralized adaptive control is investigated for a class of large-scale nonstrict-feedback nonlinear systems subject to dynamic interaction and unmeasurable states, where the dynamic interaction is related to both input and output items. First, the fuzzy logic system is utilized to tackle unknown nonlinear function with nonstrict-feedback structure. Then, by combining adaptive and backstepping technology, the proper output feedback controller is designed. Meanwhile, a fuzzy state observer is proposed to estimate the unmeasurable states. The proposed controller could guarantee that all the signals of the resulting closed-loop systems are bounded. Finally, the applicability of the proposed controller is well carried out by a simulation example. 相似文献
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A new delayed state-variable model for networked control systems is presented, upon which a linear quadratic regulator (LQR) is designed. A method of delays-estimation online is also given. A fuzzy logic with LQR controller is addressed for the difficulty on implementation of LQR in networked control systems (NCSs) with time-variant delays. Simulation results prove that the novel controller can make the system stable and robustly preserve the performance in terms of time-variant delays. 相似文献
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This paper considers the distributed adaptive fault-tolerant control problem for linear multi-agent systems with matched unknown nonlinear functions and actuator bias faults. By using fuzzy logic systems to approximate the unknown nonlinear function and constructing a local observer to estimate the states, an effective distributed adaptive fault-tolerant controller is developed. Furthermore, different from the traditional method to estimate the weight matrix, only the weight vector needs to be estimated by exchanging the order of weight vectors and fuzzy basis functions in the fuzzy logic systems. In contrast to the existing results, the assumption that the dimensions of input vector and output vector are equal is removed. In addition, it is proved that the proposed control protocol guarantees all signals in the closed-loop systems are bounded and all agents converge to the leader with bounded residual errors. Finally, simulation examples are given to illustrate the effectiveness of the proposed method. 相似文献
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This paper aims at the sampled-data control problem for a class of pure-feedback nonlinear systems. A fuzzy state observer is constructed to evaluate the unavailable states. In this process, fuzzy logic systems are applied to approximate the uncertain nonlinear functions. Based on the new designed state observer, a sampled-data control scheme for the pure-feedback nonlinear systems is proposed. The designed sampled-data controller ensures the boundedness of the nonlinear systems. Finally, two numerical examples are used to demonstrate that the proposed method is efficient. 相似文献
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《Journal of The Franklin Institute》2021,358(15):7309-7332
The current paper addresses the fuzzy adaptive tracking control via output feedback for single-input single-output (SISO) nonlinear systems in strict-feedback form. Under the situation of system states being unavailable, the system output is used to set up the state observer to estimate the real system states. Furthermore, the estimation states are employed to design controller. During the control design process, fuzzy logic systems (FLSs) are used to model the unknown nonlinearities. A novel observer-based finite-time tracking control scheme is proposed via fuzzy adaptive backstepping and barrier Lyapunov function approach. The suggested fuzzy adaptive output feedback controller can force the output tracking error to meet the pre-specified accuracy in a fixed time. Meanwhile, all the closed-loop variables are bounded. Compared to some existing finite-time output feedback control schemes, the developed control strategy guarantees that the settling time and the error accuracy are independent of the uncertainties and can be specified by the designer. At last, the effectiveness and feasibility of the proposed control scheme are demonstrated by two simulation examples. 相似文献