共查询到20条相似文献，搜索用时 578 毫秒
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双容水箱的液位具有非线性、时滞等特性,传统的控制方法很难保证系统的控制品质,采用单神经元自适应PID控制器,对控制器参数实行实时在线优化调整,其控制效果优于传统的PID控制器。 相似文献
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本文提出了摆起倒立摆的非线性控制器。该控制器的设计是基于与考虑粘性摩擦的能源战略。采用遗传算法,控制器的参数进行了优化。该控制器的有效性已经在仿真和实时实验中被测试了,并已取得了良好的业绩。 相似文献
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传统PD控制对非线性系统和参数时变摄动的控制效果不理想,本文提出一种采用动态线性化方法的自适应PD控制器的设计方法。该方法通过输入输出数据对控制器中的比例增益实时调整,从而获得更强的鲁棒性,使得新控制器的动、静态性能得到改善。仿真结果表明,本文提出的方法对系统的参数摄动具有较好的鲁棒性和实时性,并且具有在线校正功能。 相似文献
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从NOLAN模型看我国企业管理信息系统的发展 总被引：3，自引：0，他引：3
从ＮＯＬＡＮ模型看我国企业管理信息系统的发展寿志勤（合肥工业大学预测与发展研究所２３０００９）１引言企业管理信息系统（ＭＡＮＡＧＥＭＥＮＴＩＮＦＯＲＭＴＩＯＮＳＹＳＴＥＭ，ＭＩＳ）不是一个单纯的计算机技术系统，而是集企业的社会环境、技术环境和数据环境... 相似文献
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在文献（１）中给出的投入产出分析ＲＴＡＬＳ预测方法中,其广义乘数解是一个非线性方程组,一般用迭代法解这个方程组,但迭代法不仅算法复杂,而且运算速度慢,本文给出一种ＲＴＡＬＳ预测方法的非迭代解析表达解,使得算法简单,运算速度很快,算例表明求解方法可行。 相似文献
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文章给出了在用NTC(负温度特性热敏电阻)温度传感器测量温度时,非线性特性的电路校正方法,该方法简单,校正电路的一致性好,校正后的线性度在较宽温度范围内优于2%。 相似文献
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《Journal of The Franklin Institute》2022,359(15):7818-7846
In this study, the problem of observer-based control for a class of nonlinear systems using Takagi-Sugeno (T-S) fuzzy models is investigated. The observer-based model predictive event-triggered fuzzy reset controller is constructed by a T-S fuzzy state observer, an event-triggered fuzzy reset controller, and a model predictive mechanism. First, the proposed controller utilizes the T-S fuzzy model and is constructed based on state observations and discrete sampling output, which can greatly reduce the occupation of communication resources. Then, the model predictive strategy for reset law design is designed in this paper. With a reasonable reset of the controller state at certain instants, the performance of the reset control systems is improved. Finally, the validity of the proposed method is illustrated by simulation. The merits of the proposed controller in improving transient performance and reducing the communication occupation are demonstrated by comparing its results with the output feedback fuzzy controller and the first-order fuzzy reset controller. 相似文献
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《Journal of The Franklin Institute》2019,356(16):9344-9363
In the present study, a novel technique is suggested for the adaptive non-linear model predictive control based on the fuzzy approach in three stages. In the presented approach, in the first stage, the prediction and control horizons are obtained from a fuzzy system in each control step. Another fuzzy system is employed to determine the weight factors before the optimization stage of developing new controller. The proposed controller gives the parameters of the model predictive control (MPC) in each control step in order to improve the performance of nonlinear systems. The proposed control scheme is compared with the traditional MPC and Generic Model Control for controlling MED-TVC process. The performances of the three proposed controllers have been investigated in the absence and presence of disturbance in order to evaluate the stability and robustness of the proposed controllers. The results reveal that the novel adaptive controller based on fuzzy approach performs better than the two other controllers in set-point tracking and disturbance rejection with lower IAE criteria. In addition, the average computational time for the adaptive MPC exhibits a decline of 34% in comparison with the traditional MPC. 相似文献
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《Journal of The Franklin Institute》2021,358(18):9483-9509
This paper mainly studies the design of iterative learning constrained model predictive fault–tolerant control for batch processes accompanied by multi–delays, interference and actuator failures. Firstly, an equivalent 2D–Roesser model with multi–delays is established. The definition of invariant set is proposed. The sufficient conditions with invariant set characteristics are established. After that the predictive fault-tolerant controller is designed with terminal constraints against external disturbances. In this paper, Lyapunov–Razumikhin Function (LRF) is used to form Lyapunov–Krasovskii Function (LKF) to construct the sufficient condition for the predictive control system that satisfies the terminal constraint condition. Moreover, the system state still remains invariant set characteristics. This method has certain advantages in controller design and calculation. In addition, it has the characteristics of simple design and small computation, and is especially suitable for small delay systems. Finally, a simulation experiment in the nonlinear batch reactor is carried out. Compared with the traditional one-dimensional (1D) method, the presented strategy has better performance through simulation experiment. 相似文献
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《Journal of The Franklin Institute》2023,360(10):6953-6975
The main results of this paper are concentrated on the nonlinear model predictive control (MPC) tracking optimization based on high-order fully actuated (HOFA) system approaches. The proposed HOFA MPC strategy makes full use of full-actuation property to eliminate the nonlinear dynamics of the system, and then the nonlinear optimization problem is equivalently transformed into a series of easy-solve linear convex optimization problems. Different from general nonlinear MPC methods and the current optimal control of the HOFA system approach, an analytical controller with smooth and less energy is obtained by the moving horizon optimization. And it is proven that the proposed controller can stabilize the corresponding tracking error closed-loop system. Finally, not limited to FA systems, as examples, a nonlinear numerical under-actuated model in the mathematical sense and a benchmark nonlinear under-actuated mechanical system are transformed into corresponding equivalent HOFA systems, the simulation results are given to verify the effectiveness of the proposed strategy. 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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Jing Shi Ahmed Al-Durra Rachid Errouissi Igor Boiko 《Journal of The Franklin Institute》2019,356(4):2031-2059
Artificial gas-lift (AGL) is one of the most widely used methods in oil production to maintain acceptable oil flow to the processing equipment and sales when the reservoir pressure is not high enough. In spite of its popularity, the AGL process is prone to casing-heading instability, which is revealed as significant flow oscillation. This is undesirable as it results in production losses and unstable behavior that has negative impact on the downstream equipment. Controller design for such a process is very challenging as it exhibits highly nonlinear dynamics. In this work, the predictive generalized minimum variance control (NPGMV) is employed to derive a robust controller based on the state estimation to stabilize AGL process when casing-heading phenomenon occurs. A closed-form optimal control law is obtained based on the Taylor series approximation. Further, a nonlinear state observer is produced and combined with the controller to ensure closed-loop control through variables that are most beneficial to the system performance, which are unmeasurable and can be obtained only via estimation. Through simulation studies, the effectiveness of the proposed controller is demonstrated. 相似文献
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In this paper, we develop two new model reference adaptive control (MRAC) schemes for a class of nonlinear dynamic systems that is robust with respect to an uncertain state (output) dependent nonlinear perturbations and/or external disturbances with unknown bounds. The design is based on a controller parametrization with an adaptive integral action. Two types of adaptive controllers are considered—the state feedback controller with a plant parameter identifier, and the output feedback controller with a linear observer. 相似文献
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In this paper, an intelligent self-repairing control scheme is proposed for a class of nonlinear MIMO system. A direct self-repairing controller of a nonlinear SISO system is firstly designed, and then the control scheme is promoted to a nonlinear MIMO system. The error signals are replaced by the state variables to deal with the high derivate problems of the desired signals and a nonlinear regulating function is brought in to improve the performances of the sliding mode. The self-repairing controller is made up of four parts: the nonlinear regulator, the equal controller, the compensator I and the compensator II. The control method is applied to a helicopter flight control system with loss-in-effectiveness faults. Some simulation results illustrate the effectiveness and feasibility of the proposed control scheme in the paper. 相似文献
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This paper addresses the control problem for a class of discrete-time Markov jump linear systems with partially unknown transition probabilities using model predictive controller subject to external disturbances and input constraints. Our focus is on the design of a model predictive controller to stabilize the system with a given mixed H2/H∞ performance index. Sufficient conditions are derived in terms of a set of linear matrix inequalities. Examples are presented to demonstrate the effectiveness of the proposed controller design method. 相似文献