Intelligent Controller Design for Nonlinear Piezoelectric Smart Actuators

Zhen Chen; Yan Mei Liu; Zhao Hui Liu; Xiao Yu Liu; Tian Ming Song

doi:10.4028/www.scientific.net/AMM.635-637.1447

Paper Titles

Hysteresis Neural Network Modeling and Compensation of Piezoelectric Actuator
p.1426

Reentry Trajectory Optimization and Simulation of Hypersonic Vehicle with Maximum Cross Range Based on GPM
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Design of Demisting System in Vehicle Dome Based on Fuzzy Control Algorithm
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Design of Output Feedback Controller for Switched Fuzzy Systems with Time-Delay
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Intelligent Controller Design for Nonlinear Piezoelectric Smart Actuators
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Research on the Simulation of Tension Control System of the Traction Wire Rope Cleaning and Detection Line of Pay-Off Unit
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A GPS-Assisted Calibration Algorithm for Misalignment Angle between Star Sensor and Strap-Down Inertial Navigation System
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A Clustering Algorithm Based on Improved Particle Swarm Optimization
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A Digital Forensics Method in Cloud Computing Environment
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 635-637Intelligent Controller Design for Nonlinear...

Intelligent Controller Design for Nonlinear Piezoelectric Smart Actuators

Abstract:

Nonlinear characteristic hinder the effective use of piezoelectric smart materials in sensors and actuators. In this paper, the intelligent fuzzy PID controller is designed in the Matlab-Simulink environment. The piezoelectric smart actuator model is built. An adaptive fuzzy PID control scheme was proposed. The proposed control scheme was implemented in Matlab. The results of simulation and experiment indicate that the control method has good control ability.

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Periodical:

Applied Mechanics and Materials (Volumes 635-637)

Pages:

1447-1450

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.635-637.1447

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Online since:

September 2014

Authors:

Zhen Chen*, Yan Mei Liu, Zhao Hui Liu, Xiao Yu Liu, Tian Ming Song

Keywords:

Adaptive Control, Fuzzy PID, Nonlinear Characteristic, Piezoelectric Smart Materials

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