Indirect adaptive fuzzy sliding mode control: Part I: fuzzy switching

Wang, J.; Rad, A.B.; Chan, Patrick P. K.

doi:10.1016/s0165-0114(99)00179-7

Cited by 247 publications

(166 citation statements)

References 12 publications

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“…The AFSMC is directly cited from corresponding adaptive fuzzy sliding-mode control references. 7,8,[11][12][13] Consider a nonlinear system is written as…”

Section: Adaptive Fuzzy Sliding Mode Controlmentioning

confidence: 99%

Pneumatic-Piezoelectric Hybrid Vibration Suppression For a Flexible Translating Beam Using Adaptive Fuzzy Sliding Mode Control Algorithm

Qiu¹,

Wang²,

Zhang³

et al. 2017

IJAV

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A translating flexible beam system driven by a rodless cylinder using a proportional valve is proposed. Active vibration control of the flexible beam is developed by using a pneumatic cylinder and a surface-bonded piezoelectric actuator. The experimental test bed constitutes a pneumatic circuit, piezoelectric control system, and corresponding interface circuits. Then, a proportional derivative (PD) controller and an adaptive fuzzy sliding mode control (AFSMC) algorithm are designed and applied to vibration control of the experimental system. Experiments are conducted for set-point residual vibration suppression and resonant vibration control under the excitation of the first mode. The experimental results indicate that the designed controllers can increase the damping of the system to damp out the residual vibration and minimize certain resonant responses.

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“…The AFSMC is directly cited from corresponding adaptive fuzzy sliding-mode control references. 7,8,[11][12][13] Consider a nonlinear system is written as…”

Section: Adaptive Fuzzy Sliding Mode Controlmentioning

confidence: 99%

Pneumatic-Piezoelectric Hybrid Vibration Suppression For a Flexible Translating Beam Using Adaptive Fuzzy Sliding Mode Control Algorithm

Qiu¹,

Wang²,

Zhang³

et al. 2017

IJAV

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“…Trong thực tế, việc thiết kế các bộ điều khiển cho hệ thống như vậy rất khó khăn đối với các phương pháp điều khiển thông thường. Ngày nay, các công trình nghiên cứu về các phương pháp điều khiển dựa trên lý thuyết điều khiển hiện đại ngày càng nhiều, với mục tiêu nâng cao chất lượng hoạt động trong các điều kiện thiếu thông tin đo lường, tác động của nhiễu loạn…, cụ thể như: bộ điều khiển thích nghi, bộ điều khiển trượt, phương pháp backstepping tích hợp; trượt mờ thích nghi, ... [1,2,3,4,6,7].…”

Section: Phần Mở đầUunclassified

Nghiên cứu ứng dụng luật điều khiển thích nghi mờ trượt trong hệ bám sát vị trí điện thủy lực

Tien¹,

Định²,

Thanh³

2016

Tuyển Tập Công Trình HNKH Toàn Quốc Lần Thứ 3 Về Điều Khiển &Amp; Tự Động Hoá VCCA - 2015

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“…The absence of a computationally tractable dynamic model for these robots also prevents the study of interaction of external forces and the impact of collisions on these continuum structures. This impedes the study and ultimate usage of continuum robots in various practical applications like grasping and manipulation, where impulsive dynamics [4][5][6][7][8][9][10] are important factors. Although continuum robotics is an interesting subclass of robotics with promising applications for the future, from the current state of the literature, this field is still in its stages of inception.…”

Section: Introductionmentioning

confidence: 99%

Design New Intelligent PID like Fuzzy Backstepping Controller

Khajeh¹,

Piltan²,

Rashidian³

et al. 2014

IJMECS

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Abstract-The minimum rule base Proportional Integral Derivative (PID) Fuzzy backstepping Controller is presented in this research. The popularity of PID Fuzzy backstepping controller can be attributed to their robust performance in a wide range of operating conditions and partly to their functional simplicity. The process of setting of PID Fuzzy backstepping controller can be determined as an optimization task. Over the years, use of intelligent strategies for tuning of these controllers has been growing. PID methodology has three inputs and if any input is described with seven linguistic values, and any rule has three conditions we will need 7 × 7 × 7 = 343 rules. It is too much work to write 343 rules. In this research the PID-like fuzzy controller can be constructed as a parallel structure of a PD-like fuzzy controller and a PI-like controller to have the minimum rule base. However backstepping controller is work based on cancelling decoupling and nonlinear terms of dynamic parameters of each link, this controller is work based on manipulator dynamic model and this technique is highly sensitive to the knowledge of all parameters of nonlinear robot manipulator"s dynamic equation. This research is used to reduce or eliminate the backstepping controller problem based on minimum rule base fuzzy logic theory to control of flexible robot manipulator system and testing of the quality of process control in the simulation environment of MATLAB/SIMULINK Simulator.Index Terms-PID like fuzzy control, backstepping controller, PD like fuzzy control, PI like control, flexible robot manipulator.

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Indirect adaptive fuzzy sliding mode control: Part I: fuzzy switching

Cited by 247 publications

References 12 publications

Pneumatic-Piezoelectric Hybrid Vibration Suppression For a Flexible Translating Beam Using Adaptive Fuzzy Sliding Mode Control Algorithm

Pneumatic-Piezoelectric Hybrid Vibration Suppression For a Flexible Translating Beam Using Adaptive Fuzzy Sliding Mode Control Algorithm

Nghiên cứu ứng dụng luật điều khiển thích nghi mờ trượt trong hệ bám sát vị trí điện thủy lực

Design New Intelligent PID like Fuzzy Backstepping Controller

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