Description: 模糊滑模控制的matlab仿真，希望对大家有用-Fuzzy Sliding Mode Control of matlab simulation, in the hope that useful to everybody Platform: |
Size: 36864 |
Author:zzz336 |
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Description: 自适应模糊滑模控制器设计的matlab源代码，对于研究滑模变结构控制的同学很有用。-Adaptive fuzzy sliding mode controller design matlab source code for the study of sliding mode variable structure control students useful. Platform: |
Size: 5120 |
Author:zwb |
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Description: 基于一个二阶系统的滑模变结构控制的应用,另外加入了模糊控制来减轻变结构控制带来的振动.-Second-order system based on a sliding mode variable structure control applications, the other joined the fuzzy control variable structure control to reduce vibration caused. Platform: |
Size: 9216 |
Author:zhangbin |
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Description: 滑模变结构控制MATLAB仿真一书中，2到10章节的所有程序-MATLAB simulation of sliding mode variable structure control of a book, chapters 2 to 10 all of the programs Platform: |
Size: 188416 |
Author:alex |
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Description: 滑模变结构控制仿真实例，为基础的滑模变结构入门程序，建议初学者参考使用-Sliding mode variable structure control simulation example, based on sliding mode variable structure entry procedures, the proposed reference to the use of beginners Platform: |
Size: 1024 |
Author:syh |
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Description: 利用模糊控制結合滑模控制合成的模糊滑模控制器，應用在磁浮軸承系統。-The use of fuzzy control with sliding mode control synthesis of fuzzy sliding mode controller, used in magnetic bearing systems. Platform: |
Size: 2048 |
Author:郭小歪 |
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Description: 效果很棒的VB.NET界面控件(iForm V3).这里演示的是一个很不错的窗体界面控件 FOR VB.NET2005版本，主要包括窗体淡入淡出特效引擎，托盘滑动提示组件，以及一组非常不错的控件示例，如进度条，仿 IE7 加载进度状态，调色板，面板控件，图片处理（包括模糊、水印处理).-Effects of a great VB.NET interface controls (iForm V3). Here is a very good demonstration of the form FOR VB.NET2005 version of the interface controls, mainly including the form fade effects engine, sliding tray prompt components, and a set of very good control sample, such as the progress bar, fake IE7 load the progress of state, palette, panel controls, image processing (including fuzzy, watermark processing). Platform: |
Size: 1872896 |
Author:382 |
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Description: This paper studies the performance improvement for
a sliding mode controller using fuzzy methods. By
using fuzzy gain scheduling, sliding mode controller
gains are tuned during its performance causing
energy consumption to be decreased. Furthermore
robustness characteristics are saved against
perturbations. As a result, chattering is decreased on
the sliding surface. To evaluate the method,
simulations is performed on depth control of an
underwater. -This paper studies the performance improvement for
a sliding mode controller using fuzzy methods. By
using fuzzy gain scheduling, sliding mode controller
gains are tuned during its performance causing
energy consumption to be decreased. Furthermore
robustness characteristics are saved against
perturbations. As a result, chattering is decreased on
the sliding surface. To evaluate the method,
simulations is performed on depth control of an
underwater. Platform: |
Size: 133120 |
Author:hudhud |
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Description: 本程序主要实现了DSP的模糊滑模控制算法，提高了系统的控制性能
-The main achievement of the DSP program fuzzy sliding mode control algorithm to improve the control performance of the system Platform: |
Size: 4096 |
Author:lihua |
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Description: In recent years, sliding mode control has been suggested as an approach for the control of systems with nonlinearities, uncertain dynamics and bounded input disturbances. The most distinguished feature of the sliding mode control technique is its ability to provide fast error convergence and strong robustness for control systems in the sense that the closed loop systems are completely insensitive to nonlinearities, uncertain dynamics, uncertain system parameters and bounded input disturbances in the sliding mode. Figure 1 shows an example trajectory of a system under sliding mode ontrol. The sliding surface is described by s = 0, and the sliding mode along the surface commences Platform: |
Size: 419840 |
Author:deep |
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Description: This paper presents a fuzzy tuning approach to sliding mode control for tracking-performance enhancement in a class of nonlinear
systems. The sliding surface can rotate or shift in the phase space in such a direction that the tracking behaviour can be improved. It is
shown that with arbitrary initial conditions, the reaching time and tracking error in the approaching phase can be signi辌antly
reduced. Chattering can also be reduced by fuzzy tuning of the controller parameters Platform: |
Size: 486400 |
Author:deep |
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Description: This program simulate the suspension system for a passenger car. It employes Sliding Mode Control, Skyhook Damper, Fuzzy Logic Control to control Semi-Active Suspension System Platform: |
Size: 5266432 |
Author:Muhammed |
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Description: This paper proposes an adaptive fuzzy sliding mode controller for robotic manipulators. An adaptive single-input single-output (SISO) fuzzy system is applied to calculate each element of the control gain vector in a sliding mode controller. The adaptive law is designed based on the Lyapunov method. Mathematical proof for the stability and the convergence of the system is presented. Various operation situations such as the set point control and the trajectory control are simulated. The simulation results demonstrate that the chattering and the steady state errors, which usually occur in the classical sliding mode control, are eliminated and satisfactory trajectory tracking is achieved. Platform: |
Size: 1337344 |
Author:Diamant |
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Description: An adaptive fuzzy sliding-mode control (AFSMC) design method is proposed to control an induction servomotor system. The proposed AFSMC system is comprised of a fuzzy controller and a compensation controller. The fuzzy controller is used to mimic an ideal computational controller. The compensation controller is designed to compensate for the difference between the ideal computational controller and the fuzzy controller. All parameters in the proposed AFSMC system are tuned in the Lyapunov sense thus the stability of the system can be guaranteed. Simulation and experimental results verify that the proposed design method can achieve satisfactory control performance with regard to parameter variations and external disturbance.-An adaptive fuzzy sliding-mode control (AFSMC) design method is proposed to control an induction servomotor system. The proposed AFSMC system is comprised of a fuzzy controller and a compensation controller. The fuzzy controller is used to mimic an ideal computational controller. The compensation controller is designed to compensate for the difference between the ideal computational controller and the fuzzy controller. All parameters in the proposed AFSMC system are tuned in the Lyapunov sense thus the stability of the system can be guaranteed. Simulation and experimental results verify that the proposed design method can achieve satisfactory control performance with regard to parameter variations and external disturbance. Platform: |
Size: 326656 |
Author:Diamant |
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Search - fuzzy sliding control