Adaptive Backstepping Slide Mode Control of Pneumatic Position Servo System

With the price decreasing of the pneumatic proportional valve and the high performance micro controller, the simple structure and high tracking performance pneumatic servo system demonstrates more application potential in many fields. However, most existing control methods with high tracking perform...

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Bibliographic Details
Published in:Chinese journal of mechanical engineering 2016-09, Vol.29 (5), p.1003-1009
Main Authors: Ren, Haipeng, Fan, Juntao
Format: Article
Language:English
Subjects:
Adaptive control
Advanced Manufacturing and Machining Technology
Closed loop systems
Control methods
Control systems design
Controllers
Design
Design parameters
Dynamic models
Electrical Machines and Networks
Electronics and Microelectronics
Engineering
Engineering Thermodynamics
Feedback control
Heat and Mass Transfer
Instrumentation
Machines
Manufacturing
Mechanical Engineering
Microcontrollers
Parameter uncertainty
Power Electronics
Pressure sensors
Processes
Servocontrol
Stability analysis
Theoretical and Applied Mechanics
Tracking control
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Summary:With the price decreasing of the pneumatic proportional valve and the high performance micro controller, the simple structure and high tracking performance pneumatic servo system demonstrates more application potential in many fields. However, most existing control methods with high tracking performance need to know the model information and to use pressure sensor. This limits the application of the pneumatic servo system. An adaptive backstepping slide mode control method is proposed for pneumatic position servo system. The proposed method designs adaptive slide mode controller using backstepping design technique. The controller parameter adaptive law is derived from Lyapunov analysis to guarantee the stability of the system. A theorem is testified to show that the state of closed-loop system is uniformly bounded, and the closed-loop system is stable. The advantages of the proposed method include that system dynamic model parameters are not required for the controller design, uncertain parameters bounds are not need, and the bulk and expensive pressure sensor is not needed as well. Experimental performance, as compared with some existing methods. results show that the designed controller can achieve better tracking
ISSN:1000-9345
2192-8258
DOI:10.3901/CJME.2016.0412.050