1. The document describes a fuzzy sliding mode controller for a pneumatic actuator system with control valve. 2. It proposes using a fuzzy sliding mode approach to control the pneumatic actuator, where a sliding surface is defined and a fuzzy logic system is used to generate the control input to drive the system state towards the sliding surface. 3. The fuzzy sliding mode controller is designed and simulated in MATLAB/Simulink to control the pressure and position of the pneumatic actuator system.

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BC
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15. 15
Fuzzy-Sliding Mode Controller is Designed to Control the Servo Actuator Pneumatic Solenoid
Valves using a Genetic Algorithm
M.Siavash1
, M.Hasanlou2
, F.Najafi3
, A.Bagheri4
MS Student Mechanical Engineering, University of Guilan, Iran
MS Student Mechanical Engineering, University of Guilan, Iran
Associate Professor of Mechanical Engineering, University of Guilan, Iran
Professor of Mechanical Engineering, University of Guilan, Iran
In this study, position control servo-pneumatic system is done by on/off solenoid valves. Nonlinear
behavior of air in pneumatic systems leads to difficulties in controlling these systems. Therefore, in
order to control the position of the pneumatic model, Sliding Mod nonlinear controller is considered.
First, using pulse width modulation algorithm, control command converts into pulses for on/off
solenoid valves. Then, Sliding Mod controller is designed to trace an optimal situation. Due to
environmental disturbances for robustness of the controller, coefficients are considered as fuzzy.
Moreover, setting fuzzy membership functions and controller coefficients for performance
improvement have been obtained by using genetic algorithm. Finally, the designed controller was
tested with fuzzy controller under different standard inputs and the results were revealed.