Description: rar压缩包，包含一个自适应大小的位图控件,一个自适应大小的位图控件演示程序,在多文档客户区中增加位图底图演示程序,在多文档客户区中增加位图底图,TGA文件转换为GIF文件-rar compressed, includes an adaptive size of the bitmap controls, the size of an adaptive control Bitmap Demonstration Program, the Multi - Document customers to increase the district maps bitmap Demonstration Program, the Multi - Document District customers increased bitmap maps, TGA paper documents converted to GIF Platform: |
Size: 822242 |
Author:也风 |
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Description: 在现有的道路条件下，提高交通控制和管理水平，合理利用现有的交通设施，充分发挥其能力，是解决我国现在交通问题的有效方法之一。而对单路口信号配时的优化，是城市交通区域控制的基础，十分之重要。本文将自适应变异粒子群算法应用于交通信号配时，与传统的信号配时方法相比较，车辆的平均延误得到了明显的改善。-the existing road conditions, traffic control and management, rational use of existing transport facilities, give full play to their ability is to solve the traffic problem in China is now one of the effective ways. And the single-junction signal timing optimization of the city is controlled by the regional transport infrastructure is very important. In this paper, adaptive mutation PSO applied to the traffic signal timing with the traditional signal timing methods, the average vehicle delay has been markedly improved. Platform: |
Size: 25880 |
Author:花心 |
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Description: The cable compensation system is an experiment system that performs simulations of partial or microgravity environments on earth. It is a highly nonlinear and complex system.In this paper, a network based on the theory of the Fuzzy Cerebellum Model Articulation Controller(FCMAC) is proposed to control this cable compensation system. In FCMAC ,without appropriate learning rate, the control system based on FCMAC will become unstable or its convergence speed will become slow.In order to guarantee the convergence of tracking error, we present a new kind of optimization based on adaptive GA for selecting learning rate.Furthermore, this approach is evaluated and its performance is discussed.The simulation results shows that performance of the FCMAC based the proposed method is stable and more effective. -The cable compensation system is an experiment system that performs simulations of partial or microgravity environments on earth. It is a highly nonlinear and complex system.In this paper, a network based on the theory of the Fuzzy Cerebellum Model Articulation Controller (FCMAC) is proposed to control this cable compensation system. In FCMAC, without appropriate learning rate, the control system based on FCMAC will become unstable or its convergence speed will become slow.In order to guarantee the convergence of tracking error, we present a new kind of optimization based on adaptive GA for selecting learning rate.Furthermore, this approach is evaluated and its performance is discussed.The simulation results shows that performance of the FCMAC based the proposed method is stable and more effective. Platform: |
Size: 69632 |
Author:Alice |
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Description: This paper addresses the issues relating to the
enforcement of robust stability when implementing the Adaptive
Inverse Control (AIC) scheme. In this scheme, an adaptive
FIR filter is added to a closed-loop system in order to
reduce the output error caused by external disturbances,
enhancing the performance achieved by linear time-invariant
controllers alone.-This paper addresses the issues relating to theenforcement of robust stability when implementing the AdaptiveInverse Control (AIC) scheme. In this scheme, an adaptiveFIR filter is added to a closed-loop system in order toreduce the output error caused by external disturbances, enhancing the performance achieved by linear time-invariantcontrollers alone. Platform: |
Size: 421888 |
Author:rifer |
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Description: ：运用动力学原理建立了小车-倒摆的仿真模型, 并以对象输入输出的测试数据为依据，讨
论了Takagi-Sugeno 模糊模型的参数辨识，提出了模糊逆模型控制方案，基于此借助Matlab 的
Simulink 设计了小车-倒摆的动态模型及其模糊自适应控制系统。仿真结果证明了本文采用的控制
策略的有效性。-: The use of dynamic theory to establish a car- inverted pendulum simulation model and the object input and output test data as the basis to discuss the Takagi-Sugeno fuzzy model parameter identification, the fuzzy inverse model control scheme, based on the use of Matlab Simulink design of the car- inverted pendulum dynamic model and the fuzzy adaptive control system. Simulation results show this paper, the effectiveness of the control strategy. Platform: |
Size: 247808 |
Author:daizhk |
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Description: 本文是鄙人的自适应控制大作业，本文分模型参考自适应控制和CARMA模型的最小方差自适应控制，文中采用smulink仿真和matlab的m函数编程来实现自适应控制的内容，分析透彻，图表清晰，有很强的可阅读性，仅以本人微薄的努力和大家共鸣，共同进步，以后还会有精彩的内容奉上-This article is great I adaptive control operation, the paper sub-model reference adaptive control and CARMA model of minimum variance adaptive control, the text used in smulink simulation and the m function matlab programming adaptive control to realize the content analysis was thorough, chart clear, can have a very strong reading, and only my meager efforts and U.S. response, and common progress, the future will also have exciting content offering Platform: |
Size: 220160 |
Author:阳关 |
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Description: 本文主要研究利用神经网络进行非线性辨识及自适应控制。
-This paper studied the feasibility of using neural network nonlinear identification and adaptive control. Platform: |
Size: 1412096 |
Author:陆见 |
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Description: 模型参考自适应控制系统由参考模型、受控对象、控制器和自适应律等组成。系统设计的核心是综合和设计控制器和自适应规律，使系统能稳定跟踪参考模型的输出[2]。近年来，对时变系统的自适应控制的研究已取得了较大的进展。在文[3]的基础上，本文针对线性时变系统的一种改进的模型参考自适应控制方案进行仿真研究，仿真结果说明了该控制方案的可行性。-Model reference adaptive control system consists of a reference model, the controlled object, controller and adaptive laws such as the composition. Is the core of system design and design of integrated controller and adaptive laws, enables the system to stabilize the output of reference model tracking [2]. In recent years, of time-varying systems of adaptive control research has been made greater progress. In the text [3] on the basis of this paper, linear time-varying systems A modified model reference adaptive control program simulation study, simulation results illustrate the feasibility of the control program. Platform: |
Size: 1024 |
Author:zl |
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Description: 本文讨论了神经网络PID控制策略，提出了一种单神经元自适应PID控制器，给出了控制模型，探讨了单神经元自适应PID控制学习算法，通过修改神经元控制器连接加权系数 ，构成了自适应PID控制器。利用神经网络的自学习能力进行PID控制参数的在线整定，并使用了MATLAB软件进行了仿真研究。比较传统PID控制器与单神经元自适应PID控制器两者的仿真结果表明，神经网络PID控制器参数调节简单，具有很高的精度和很强的适应性，可以获得满意的控制效果。-This paper discusses the nerve network PID control strategy and a single neural and adaptive PID controller is presented, and it s model is given here. The algorithm of PID controller is explored by revising the weighted coefficient . Make use of the study ability of the nerve network to turing the PID control parameter, and proceeds the simulation research using matlab software. From the simulation results, it is can be shown that Neural Network PID controller have the higher accuracy and stronger adaptability, and can get satisfied control result.
Key Words: PID；single Neuron；self-adaptive
Platform: |
Size: 7168 |
Author:大同小异 |
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Description: 本文应用模糊控制技术,设计了一种二输入三输出模糊自整定PID控制器,对锅炉汽包水位进行控制,实现了PID参数的自适应调节。利用MATLAB对控制系统进行仿真。结果表明,该控制器自整定能力及鲁棒性比传统PID控制器更强,响应速度快、精度高,同时对虚假水位有较好的控制效果。matlab实践研究。-In this paper, fuzzy control technology, the design of a two input and three output fuzzy self-tuning PID controller of the boiler drum water level control, the realization of the adaptive PID parameters. Using MATLAB simulation of control systems. Results show that the controller self-tuning capability and robustness stronger than the traditional PID controller, fast response, high accuracy and false at the same time the water level has good control effect. Practice matlab. Platform: |
Size: 1248256 |
Author:赵洪森 |
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Description: 锅炉汽包水位控制系统是火力发电厂中的一个重要的热工控制系统，汽包水位的
控制大多采用传统PID控制方式。但是，传统PID控制器参数的整定是在获取对象数学
模型的基础上，根据某一整定规则来确定的，不能进行在线调整，难以适应锅炉汽包
水位这样一个复杂多变的控制系统，其控制效果往往难以满足要求。
本文应用模糊控制技术，设计了一种二输入三输出模糊自整定PID控制器，对锅
炉汽包水位进行控制，实现了PID参数的自适应调节。利用MATLAB对控制系统进行
仿真。结果表明，该控制器自整定能力及鲁棒性比传统PID控制器更强，响应速度快、
精度高，同时对虚假水位有较好的控制效果。-Boiler water level control system is an important thermal power plant in the thermal control system, boiler water level
Control most of the traditional PID control method. However, the traditional PID controller tuning parameters for objects in mathematics
Model based on the rules to determine a whole and can not be adjusted online, it is difficult to adapt to the boiler drum
Water level control such a complex system, its control effect is often difficult to meet the requirements.
In this paper, fuzzy control technology, designed a two input and three output fuzzy self-tuning PID controller, the pot
Steam drum level control, the PID parameters to achieve the adaptive regulation. The control system using MATLAB
Simulation. The results show that the controller auto-tuning capability and robustness more than the traditional PID controller, fast response,
High precision, while the water level has better control of false results. Platform: |
Size: 1248256 |
Author:沉默年糕 |
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Description: ：针对电动汽车永磁同步电机无位置传感器控制系统，在两相静止坐标系( —B)内将滑模观测器法
与MRAS结合，提出了基于模型参考自适应的滑模观测器，并利用自适应律估计永磁同步电机的转子速度。仿真
和试验表明无位置传感器控制方法是切实可行的。
关键词：电动汽车永磁同步电机无位置传感器控制 自适应滑模观测器-This paper presents a new adaptive slid—mode observer for electric vehicle permanent magnet
synchronous motor(PMSM)sensorless control system，which is combined with the sliding mode observer and model
reference adaptive method in the two—phase stationary reference frame． The speed of PMSM rotor is estimated by
adaptive law．Simulation and experimental results show that the sensol ]ess control method is practical and feasible。
Key words：EV PMSM position sensor]ess control ASMO(adaptive slid—mode observer) Platform: |
Size: 488448 |
Author:fmx |
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Description: UPFC中间直流电容上电压控制的重要性 论文在传统 PID控制的基础上 设计模糊自适应 PID控制策略 控制方案能有效地提高直流电容上电压的稳定性 改善功率波形 取得了类似扩大电容容量后的效果 -UPFC DC capacitor voltage control among the importance of paper in the traditional PID control based on fuzzy adaptive PID control strategy designed control scheme can effectively improve the stability of the DC voltage on the capacitor to improve the power waveform to obtain a similar effect after the expansion of capacitance Platform: |
Size: 100352 |
Author:唐传胜 |
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Description: 本文对传统的双杆机器人采用模糊自适应控制策略，实现机器人的轨迹控制任务，提高系统的鲁棒性能。-In this paper, the traditional double-pole robot using fuzzy adaptive control strategy, robot trajectory control tasks, improve the robust performance of the system. Platform: |
Size: 5120 |
Author:赵玉龙 |
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Description: This paper presents two kinds of adaptive control schemes for robot manipulator which has the parametric uncertainties. In order to compensate these uncertainties, we use the FLS (fuzzy logic system) that has the capability to approximate any nonlinear function over the compact input space. In the proposed control schemes, we need not derive the linear formulation of robot dynamic equation and tune the parameters. We also suggest the robust adaptive control laws in all proposed schemes for decreasing the effect of approximation error. To reduce the number of fuzzy rules of the FLS, we consider the properties of robot dynamics and the decomposition of the uncertainty function. The proposed controllers are robust not only to the structured uncertainty such as payload parameter, but also to the unstructured one such as friction model and disturbance. The validity of the control scheme is shown by computer simulations of a two-link planar robot manipulator. Platform: |
Size: 641024 |
Author:Diamant |
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Description: this paper Robust adaptive control for a single-machine infinite-bus power system with an SVC Platform: |
Size: 365568 |
Author:Alexander Koszalka |
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Description: 针对直流电网中的最优潮流问题，提出了一种基于模糊控制理论的自适应粒子群算法，以实现电网兼顾有功网损和电压质量的优化运行。(To solve optimal power flow problem in DC grid, an adaptive particle swarm optimization (PSO) algorithm based on fuzzy control theory is proposed in this paper, and optimal operation considering both power loss and voltage quality is realized.) Platform: |
Size: 302080 |
Author:阿飞之父 |
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