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: |
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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: 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: 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 mode