Development of Robust Fuzzy Sliding Mode Control Technique for Nonlinear Drive Systems

2006 ◽  
Author(s):  
M. Morsy ◽  
M. A. Moteleb ◽  
H. Dorrah
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Control Technique ◽  
Fuzzy Sliding Mode Control ◽  
Mode Control ◽  
Fuzzy Sliding Mode ◽  
Drive Systems

scholarly journals Sensorless Direct Torque Control of PMSM Based on Fuzzy Sliding Mode Control with Full Order Sliding Mode Observer

2021 ◽  
Vol 23 (5) ◽  
pp. 409-415
Author(s):  
Idriss Baba Arbi ◽  
Abdelkrim Allag
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Direct Torque Control ◽  
Angular Speed ◽  
Sliding Mode Observer ◽  
Torque Control ◽  
Control Technique ◽  
Fuzzy Sliding Mode Control ◽  
Mode Control ◽  
Fuzzy Sliding Mode

This paper presents an implementation of Fuzzy Sliding Mode Control for Sensorless Direct Torque Control (DTC) of a Permanent Magnets Synchronous Machine as a combination between the known performances of direct torque control on the one hand and the robustness of sliding mode control on the other hand. The fuzzy controller is introduced to reduce the effect of chattering phenomenon which is the major disadvantage of sliding mode control technique. The proposed controller is used to replace the conventional PI angular speed controller that generates the electromagnetic reference torque for DTC, in order to improve the dynamic and the permanent behaviors of the angular speed control response as well the electromagnetic torque. The proposed control technique is implemented without using speed or position sensors, where a Full Order Sliding Mode Observer is used. It is shown that the proposed control technique has given improved simulation results with different speed ranges and different load values.

Application of fuzzy sliding mode control method based on cyber-physics fusion system in mechanical resonance suppression

2021 ◽  
pp. 1-7
Author(s):  
Zhiyan Guo ◽  
Jiakuan Xia ◽  
Zexing Li
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Servo System ◽  
Servo Drive ◽  
Mechanical Resonance ◽  
Fuzzy Sliding Mode Control ◽  
Mode Control ◽  
Maximum Value ◽  
Fuzzy Sliding Mode ◽  
Drive Systems

Modern high-end digital manufacturing has continuously improved the performance requirements for servo drive systems. High-performance servo drive systems should have excellent dynamic performance and steady-state performance. At present, an AC permanent magnet servo drive system using a permanent magnet synchronous motor as the drive motor has become the mainstream of contemporary servo drive systems. Servo system (servo mechanism), also known as servo systems, generally contains feedback control links, mainly used to accurately follow or reproduce a certain process. The servo system is mainly composed of a controller, a power drive device, a feedback device, a transmission device, a motor, and a load. In a servo system, the existence of mechanical resonance will cause serious damage to the transmission mechanism of the system and will reduce the reliability and accuracy of the system. When the performance of the system deteriorates severely, it will lead to system instability or even safety accidents. This article aims to study the use of fuzzy sliding mode control methods to control the generation of mechanical resonance, to further eliminate the phenomenon of mechanical resonance in the servo system. This paper puts forward the methods to eliminate chattering generated by sliding mode control, mainly including filtering method, eliminating uncertainty, intelligent algorithm optimization, reducing switching gain, and fan shape. The experimental results in this paper show that when the angular speed feedback of the motor is adopted, the maximum value of the speed difference is close to 3rad/s. It can be considered that there is resonance in the system, and the load resonance is the main factor. When the angular velocity feedback at the load end is used, the maximum value of the speed difference is about 0.05rad/s, and it can be considered that the resonance has been successfully suppressed.

scholarly journals Sliding Mode Control with Adaptive Fuzzy Compensation for Uncertain Nonlinear System

2018 ◽  
Vol 2018 ◽  
pp. 1-6 ◽  
Author(s):  
Lina Wang ◽  
Haihui Zhang
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Control Technique ◽  
Stability And Convergence ◽  
Closed Loop System ◽  
Fuzzy Sliding Mode Control ◽  
Mode Control ◽  
Adaptive Weight ◽  
Fuzzy Sliding Mode ◽  
The Stability

Fuzzy sliding mode control as a robust and intelligent nonlinear control technique is proposed to control processes with severe nonlinearity and unknown models. This paper proposes a new adaptive tracking fuzzy sliding mode controller for nonlinear systems in the presence of fuzzy compensation. The main contribution of the proposed method is that the fuzzy system is used to realize the adaptive approximation of the unknown part of the model, and the fuzzy gain can be reduced effectively. The fuzzy self-adaptive rate is derived through the Lyapunov method, and the stability and convergence of the whole closed-loop system are guaranteed by adjusting the adaptive weight value. The performance of the proposed approach is evaluated for double joint rigid manipulator problems. The simulation results illustrate the effectiveness of our proposed controller.

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