Description: matlab开发的模糊pid控制器,用simulink平台实现,有一定的典型性-Matlab pid development of the fuzzy controller, using Simulink platform. have some typical Platform: |
Size: 5552 |
Author:刘帅 |
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Description: matlab开发的模糊pid控制器,用simulink平台实现,有一定的典型性-Matlab pid development of the fuzzy controller, using Simulink platform. have some typical Platform: |
Size: 5120 |
Author:刘帅 |
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Description: 针对纯时滞系统，自己用Simulink编写了一个双模糊PID控制器，其中模糊预估器能补偿时滞，模糊PID有良好的自适应性，可以得到了一个堪称"优美"的控制效果图。-For pure time-delay systems, their own Simulink prepared using a dual-fuzzy PID controller, in which fuzzy predictor can compensate time-delay, Fuzzy PID have good self-adaptability, can be a most beautiful to control the effect of map . Platform: |
Size: 9216 |
Author:khw |
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Description: 该算法为基于CMAC与PID并行控制的SIMUlink仿真
用MATlab开发，能够管直接运行-The algorithm based on CMAC and PID control parallel simulation using Matlab Simulink development, be able to pipe directly to run Platform: |
Size: 3072 |
Author:wujianzhang |
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Description: ：介绍了一种利用DSP控制的大容量蓄电池自动充电装置的设计。采用高频开关电源技术，给出了基于数
字信号处理器TMS320LF2407的充电装置控制系统的软、硬件设计。借助Matlab中的Simulink仿真工具，采用
在线模糊自整定技术对充电装置控制系统进行仿真，并将仿真结果应用于DSP控制器中，实现对Fuzzy-PID控
制的Kp、Ki、Kd参数的在线自整定，使充电方式能较好的模拟最佳充电曲线，达到理想效果。理论分析和试验都
表明，该充电装置能够有效地提高蓄电池的充电效率，加快充电速度。
-：An automatic charging equipment with high-capacity storage battery was designed through being controlled by
DSP.Using the HF SPS(High-Frequency Switching Power Supply)，the software/hardware implementation of a
TMS320LF2407 based controller system was introduced.With the tool-box of Simulink in Matlab，it adopts Fuzzy-PID
methods to simulate the controlling system of charging system.Then the result of simulation will be used in DSP controller
to realize self-control of the the parameters of Kp、Ki、Kd in PID controller so as to make the way of battery charging could
simulate the excellent curve and reach ideal results. Platform: |
Size: 314368 |
Author:mabeibei |
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Description: This paper presents the simulation of a simple First Order plus Delay Time (FOPDT) process model using
advanced control algorithms. Specifically, these advanced algorithms are the IMC-based PID controller, the Model
Predictive Controller (MPC) and the Proportional-Integral-Plus Controller (PIP) and their performance is compared
with the conventional Proportional – Integral – Derivative (PID) algorithm. The simulations took place using the
Matlab/Simulink™ software.-This paper presents the simulation of a simple First Order plus Delay Time (FOPDT) process model using
advanced control algorithms. Specifically, these advanced algorithms are the IMC-based PID controller, the Model
Predictive Controller (MPC) and the Proportional-Integral-Plus Controller (PIP) and their performance is compared
with the conventional Proportional – Integral – Derivative (PID) algorithm. The simulations took place using the
Matlab/Simulink™ software. Platform: |
Size: 433152 |
Author:chris kasta |
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Description: Software for PID controller tuning PIDTOOL has been developed in the MATLAB–
Simulink programming environment using its graphic user interface. The main aim
of the PIDTOOL design was creating user friendly tool for simple and fast
identification from the step response of the controlled process as well as for simple
and fast PID controller tuning and checking the quality of control.
Platform: |
Size: 272384 |
Author:amina |
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Description: Software for PID controller tuning PIDTOOL 1.0 was developed in the
MATLAB – Simulink programming environment using its graphic user interface. The
main aim of the PIDTOOL design was creating user friendly tool for simple and fast
identification from data measured on the controlled process as well as for simple and
fast PID controller tuning. The controlled system is identified from its step response in
the form of the 1st order transfer function or in the form of the transfer function of the
higher order.
Platform: |
Size: 723968 |
Author:amina |
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Description: A proportional–integral–derivative controller (PID controller) is a generic control loop feedback mechanism (controller) widely used in industrial control systems ...
This is a simulink program for a continuous PID control system using Op-amps Platform: |
Size: 9216 |
Author:Ahmed |
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Description: 用MATLAB中的simulink pid控制器实现汽车abs系统实时仿真-Implementation of real time simulation of automobile ABS system using Simulink PID controller in MATLAB Platform: |
Size: 10240 |
Author:付 |
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Description: 双容水箱的液位控制问题。首先对被控对象的模型进行分析，并采用实验建模法求取模型的传递函数。其次，设计PID控制器，在Matlab/Simulink环境下建立双容水箱控制的仿真模型，对PID控制算法进行仿真研究。通过仿真实验，证明该设计方法可行性和该算法的正确性。最后完成了基于PLC的双容水箱液位控制的软硬件设计，编写了PLC梯形图实现了水箱液位的PID控制。-Dual tank water level control problems. First, the controlled object model for analysis and modeling approach using experimental strike transfer function model. Secondly, the design of PID controller, simulation model dual tank water control in Matlab/Simulink environment, PID control algorithm simulation. Simulation results show that the design feasibility and correctness of the algorithm. Finally completed the hardware and software design of PLC-based dual-tank water level control, the preparation of the PLC ladder to achieve the tank level PID control. Platform: |
Size: 1032192 |
Author:liubinbin |
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Description: The paper deals with a controller design for the nonlinear processes using genetic
algorithm and neural model. The aim was to improve the control performance using
genetic algorithm for optimal PID controller tuning. The plant model has been
identified via an artificial neural network from measured data. The genetic algorithm
represents an optimisation procedure, where the cost function to be minimized
comprises the closed-loop simulation of the control process and a selected
performance index evaluation. Using this approach the parameters of the PID
controller were optimised in order to become the required behaviour of the control
process. Testing of quality control process was realized in simulation environment of
Matlab Simulink on selected types of nonlinear dynamic processes.-The paper deals with a controller design for the nonlinear processes using genetic
algorithm and neural model. The aim was to improve the control performance using
genetic algorithm for optimal PID controller tuning. The plant model has been
identified via an artificial neural network from measured data. The genetic algorithm
represents an optimisation procedure, where the cost function to be minimized
comprises the closed-loop simulation of the control process and a selected
performance index evaluation. Using this approach the parameters of the PID
controller were optimised in order to become the required behaviour of the control
process. Testing of quality control process was realized in simulation environment of
Matlab Simulink on selected types of nonlinear dynamic processes.
Platform: |
Size: 135168 |
Author:samir |
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Description: ID控制器和模糊PID控制器在汽车发动机油门控制中的应用，在Matlab环境下实现
计算动词PID的仿真，在Simulink环境下仿真模糊PID控制器，并对比两种PID控制器的仿真结
果，在研究中用GUI窗口实现了计算动词PID控制器的可视化调控。-The application of verb PID controller and fuzzy PID controller in the control of automobile engine throttle, in Matlab environment
Calculate the simulation of verb PID, simulate fuzzy PID controller in Simulink environment, and compare the simulation of two PID controller
In the study, the visualization of the verb PID controller was realized by using the GUI window. Platform: |
Size: 960512 |
Author:西山 |
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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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Description: A switched reluctance motor speed control is shown in a matlab simulink model. The speed is controlled using the PID controller which is tuned via inbuilt function and the input used for the motor is a step signal. The controlled speed is shown in scope which shows the input and output speed. Platform: |
Size: 22280 |
Author:phdabhay |
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