共查询到10条相似文献,搜索用时 140 毫秒
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间歇精馏过程的模糊逻辑与增益自调整PID混合控制 总被引:1,自引:0,他引:1
针对间歇精馏过程的强非线性和非平稳时变特性,结合模糊逻辑控制和增益自调整PID控制的优点,提出了一种模糊逻辑和增益自调整PID混合控制的先进控制策略,详细推导了其控制算法,设计了相应的控制器,并在EuroBEEB工控机上用实时BASIC语言编程实现,对一套甲醇/水二元间歇精馏塔的塔顶浓度进行了推断控制实验,获得了比单独采用模糊逻辑控制时更好的控制结果。这说明,模糊逻辑和增益自调整PID混合控制是强非线性和非平稳时变过程的一种有效控制策略。 相似文献
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The simplest fuzzy controllers using different inference methods are different nonlinear proportional-integral controllers with variable gains 总被引:1,自引:0,他引:1
Hao Ying 《Automatica》1993,29(6)
The author analytically proves that the simplest fuzzy controllers using different inference methods are different nonlinear proportional-integral (PI) controllers with proportional-gains and integral-gains changing with inputs of the controllers. The inference methods involved are Mamdani's minimum inference method, Larsen's product inference method, the drastic product inference method and the bounded product inference method. Configuration of the fuzzy controllers is minimal, which includes two input fuzzy sets, three output fuzzy sets, four control rules, Zadeh fuzzy logic AND, Lukasiewicz fuzzy logic OR and a center of gravity defuzzification algorithm. After analytically investigating properties of the nonlinear PI controllers, the author reveals that the bounded product inference method is inappropriate for the control purpose while the other three inference methods are appropriate. Dynamic and static control behaviors of the fuzzy controllers with the appropriate inference methods are analytically compared with each other, and are also compared with those of the linear PI controller. Finally, it is analytically proven that the fuzzy control systems have the same local stability at the equilibrium point as the corresponding linear PI control system does. 相似文献
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车辆主动悬架模糊控制器的设计及其仿真分析 总被引:9,自引:0,他引:9
该文通过车辆悬架系统和路面输入模型的建立,应用模糊逻辑控制理论,进行了车辆主动悬架模糊控制器的设计,并在Matlab/Sirmulink环境中对此模糊控制器进行了仿真,把它与传统的被动悬架和用LQG控制器控制的主动悬架作了比较及性能分析,仿真结果证明了相对于其它两种悬架来说,具有模糊控制器作用的主动悬架在降低车身加速度、改善车辆的行驶平顺性和乘坐舒适性上有显著的效果。 相似文献
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本仿真的背景基于全国大学生智能车竞赛,研究电动车在随机轨迹上的跟踪转向控制。由于电动车转向控制系统的不确定性,使用传统PID控制无法满足控制需求并可能产生调节振荡。模糊控制技术基于模糊数学理论,通过模拟人的近似推理和综合决策过程,使控制算法的可控性、适应性和合理性得到提高。根据电动车转向控制的特点设计了一种简化了的模糊控制器,并与传统PID控制器进行比较。通过在MATLAB下搭建传统PID控制器模型和简化了的模糊控制器模型,最终分析和比较了该模糊控制器和传统PID控制器的不同控制效果。 相似文献
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Hui Cao Gangquan Si Yanbin Zhang Xikui Ma Jingcheng Wang 《Asian journal of control》2008,10(6):621-631
A self‐optimizing, high precision sampling fuzzy logic controller for keeping a ball mill circuit working stably and efficiently is proposed in this paper. The controller is based on fuzzy logic control strategy, and a fuzzy interpolation algorithm is presented to improve the control precision. The final output of the controller is calculated through the interpolation calculation of the observation and its neighboring antecedents, and the interpolation weight coefficients are obtained according to a fuzzy inference algorithm. In the proposed controller, the sampling control strategy is used to deal with a large delay time and a controller set value which can be adjusted by a self‐optimizing algorithm, which can overcome the time‐varying characteristic. Simulation results verify that the controller can control the ball mill circuit effectively and have higher control quality. Field service results also verify that the controller can successfully optimize the control of ball mill circuit. Copyright © 2008 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society 相似文献