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: An adaptive fuzzy integral sliding mode
controller for mismatched time-varying linear systems is
presented in this paper. The proposed fuzzy integral sliding
mode controller is designed to have zero steady state
system error under step inputs and alleviate the undesired
chattering around the sliding surface-An adaptive fuzzy integral sliding modecontroller for mismatched time-varying linear systems ispresented in this paper. The proposed fuzzy integral slidingmode controller is designed to have zero steady statesystem error under step inputs and alleviate the undesiredchattering around the sliding surface Platform: |
Size: 365568 |
Author:zhanxiaolei |
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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 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 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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Description: A position control of a class of servomotors is addressed in this paper via a novel adaptive fuzzy PI sliding mode control. The premise and the consequence parts of the fuzzy rules are tuned with adaptive schemes. To attenuate chattering effectively, the discontinuous control is approximated by an adaptive PI control structure.Moreover, the bound of the discontinuous control term is assumed to be unknown, and an adaptive mechanism is used to estimate this bound. All adaptive laws are derived via Lyapunov synthesis method, thereby guaranteeing the closed-loop stability. The proposed approach has the added advantage that, for external disturbances, it only requires a bound to exist, without needing to know the magnitude of this bound. The proposed controller is applied to control a model of uncertain induction servomotor subject to significant disturbances and a model of DC servomotor with unknown parameters and uncertainty in load condition. Platform: |
Size: 269312 |
Author:Diamant |
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Description: In this paper, a method combining fuzzy logic and sliding mode controller is proposed for the robust control of power system Single-Machine Infinite-Bus (SMIB). The aim of this study is to overcome some shortcoming of conventional power system stabilizer (CPSS), fuzzy logic power system stabilizer (FPSS) and sliding mode controllers (SMC). Platform: |
Size: 418816 |
Author:john1990 |
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Description: AUV控制仿真，滑模控制，模糊控制，对于水下无人平台仿真有挺大的参考意义(AUV control simulation,
Sliding mode control, It has great reference significance for the simulation of underwater unmanned platform) Platform: |
Size: 828416 |
Author:小灰狼_58 |
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Search - Fuzzy Sliding Mode Controller