Description: 模糊PID的MATLAB仿真...应用模糊逻辑理论在线修正P，I，D的三个参数-MATLAB simulation of the fuzzy PID fuzzy logic theory ... applications online amendment P, I, D of the three parameters Platform: |
Size: 247808 |
Author:wuxin |
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Description: 里面有三个二维模糊调节器分别实现PID控制器的参数Kp，ki，Kd，的调节。其控制原理：根据前面的偏差e和偏差变化ec将三个模糊控制器FC1,FC2,FC3分别进行模糊化，模糊逻辑推理，解模糊化。最后得到pid控制器参数调节量。-There are three two-dimensional fuzzy controller to achieve PID controller parameters were Kp, ki, Kd, of the regulation. The control principle: According to the previous error e and error change ec the three fuzzy controller FC1, FC2, FC3 were fuzzy, fuzzy logic, defuzzification. Finally, adjust the controller parameters by pid. Platform: |
Size: 30720 |
Author:杜增明 |
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Description: in this work we have tried to control a tanker ship using fuzzy logic and fuzzy controllers.
it s well known that we can use fuzzy logic for control purposes in two ways,first we can use fuzzy logic to make a model of the plant and use conventional controllers to control the whole system controllers like PID,or nonlinear methods like Sliding mode control or ...
on the other hand we can use fuzzy logic algorithms and methods for direct control of the plants.
in this work we have used the second one and have propsed a fuzzy algorithm to control the tanker vehicle directly. Platform: |
Size: 4096 |
Author:hamed |
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Description: 里面有三个二维模糊调节器分别实现PID控制器的参数Kp，ki，Kd，的调节。其控制原理：根据前面的偏差e和偏差变化ec将三个模糊控制器FC1,FC2,FC3分别进行模糊化，模糊逻辑推理，解模糊化。最后得到pid控制器参数调节量。-There are three-dimensional fuzzy regulator PID controller parameters Kp, ki Kd, adjust. The control principle: the front of the deviation e and error change ec three fuzzy controllers FC1 has FC2, FC3, fuzzification, fuzzy logic inference, defuzzification. Finally, get the pid controller parameter adjustment. Platform: |
Size: 12288 |
Author:战斗机 |
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Description: Marine and Traction propulsion systems operate in
highly dynamic and uncertain control environments. The
current speed controllers for marine/traction propulsion
systems are based on PID and type-1 Fuzzy Logic Controllers
(FLCs) which cannot fully handle the uncertainties associated
with such dynamic environments.- Marine and Traction propulsion systems operate in
highly dynamic and uncertain control environments. The
current speed controllers for marine/traction propulsion
systems are based on PID and type-1 Fuzzy Logic Controllers
(FLCs) which cannot fully handle the uncertainties associated
with such dynamic environments. Platform: |
Size: 254976 |
Author:hamed |
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Description: This paper discusses the impact of HVDC on
Power System Stability and proposes a new control mechanism
based on Fuzzy set theory to augment dynamic performance of
a multi-machine power system. To have good damping
characteristics over a wide range of operating conditions,
deviations in speed and acceleration of the machines are chosen
as the input signals to the fuzzy controller. These input signals
are first characterized by a set of linguistic variables using fuzzy
set notations .The fuzzy relation matrix allows a set of fuzzy
logic operations that are performed on controller inputs to
obtain the desired output. The effectiveness of the proposed
controller is demonstrated by a multi-machine system example.
The performance of this fuzzy controller, in comparison to the
conventional fixed gain controller, demonstrates the efficacy of
this new fuzzy PID controller.
Index Terms—HVDC, Eliminated variable Platform: |
Size: 492544 |
Author:india |
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Description: PID调参问题设计报告，包括基于根轨迹的PID调参方法和基于模糊逻辑的调参方法。-PID design parameters, including ginseng root locus method PID based on fuzzy logic method and parameter adjustment based on. Platform: |
Size: 770048 |
Author:liubinbin |
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Description: 采用模糊逻辑对pid参数进行在线矫正，并采用阶跃函数和sin函数输入进行了跟踪效果测试-Pid fuzzy logic parameters for online correction, and the use of a step function and the sin function input tracking effect test Platform: |
Size: 16384 |
Author:deng alan |
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Description: Abstract—The proportional integral derivative (PID) controller
is the most widely used control strategy in industry. The
popularity of PID controllers can be attributed partly to their
robust performance in a wide range of operating conditions and
partly to their functional simplicity. This paper presents design of
PID controller using Ziegler-Nichols (ZN) technique for higher
order system. A Fuzzy logic controller using simple approach &
smaller rule set is proposed. Simulation results are demonstrated.
Performance analysis shows the effectiveness of the proposed
Fuzzy logic controller as compared to the ZN tuned PID controller
& fine tuned PID controller. Platform: |
Size: 318464 |
Author:romi |
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Description: In many industries process such as petro chemical industries, paper making industries
and water treatment industries are using the tank system to control the liquid level. The
liquid level must be controlled by the proper controller. The objective of the controller in
the level control is to maintain a level set point at a given value and be able to accept
new set point. The conventional proportional- integral- derivative (PID) is commonly
utilized in controlling the level. On the other hand, the fuzzy logic controller (FLC) is
also popularly implemented in many practical industries application. Platform: |
Size: 307200 |
Author:romi |
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Description: 自适应模糊控制C语言代码,文件含有对PID增益的详细表述，以及模糊逻辑的模糊化、控制规则表、解模糊的详细代码。-Adaptive Fuzzy Control C language code, a detailed statement of the file containing PID gains, fuzzy logic and fuzzy control rules table, detailed code ambiguous solutions. Platform: |
Size: 3072 |
Author:斯蒂芬 |
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Description: Implementation of Fuzzy Gain Scheduling for PID Controllers in MATLAB and Simulink
Fuzzy PID Controller in MATLAB and Simulink
An approach to tune the PID controller using Fuzzy Logic, is to use fuzzy gain scheduling, which is proposed by Zhao, in 1993, in this paper. In this post, we are going to share with you, a MATLAB/Simulink implementation of Fuzzy PID Controller, which uses the blocksets of Fuzzy Logic Toolbox in Simulink. Three examples of the reference paper, are implemented as Simulink models. For backward compatibility, the models for use with MATLAB 7.9 are provided, in addition to MATLAB R2015a (version 8.5) models. Platform: |
Size: 316416 |
Author:amardz |
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