Stem Control of a Sliding-Stem Pneumatic Control Valve Using a Recurrent Neural Network | Zendy

Mohammad Heidari | Zendy; Hadi Homaei | Zendy

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Stem Control of a Sliding-Stem Pneumatic Control Valve Using a Recurrent Neural Network

Author(s) -

Mohammad Heidari,

Hadi Homaei

Publication year - 2013

Publication title -

advances in artificial neural systems

Language(s) - English

Resource type - Journals

eISSN - 1687-7608

pISSN - 1687-7594

DOI - 10.1155/2013/410870

Subject(s) - pneumatic actuator , control theory (sociology) , actuator , artificial neural network , computer science , valve actuator , control valves , controller (irrigation) , control system , scheme (mathematics) , control (management) , control engineering , observer (physics) , pneumatic flow control , engineering , artificial intelligence , mathematics , mechanical engineering , mathematical analysis , agronomy , physics , electrical engineering , quantum mechanics , biology

This paper presents a neural scheme for controlling an actuator of pneumatic control valve system. Bondgraph method has been used to model the actuator of control valve, in order to compare the response characteristics of valve. The proposed controller is such that the system is always operating in a closed loop, which should lead to better performance characteristics. For comparison, minimum- and full-order observer controllers are also utilized to control the actuator of pneumatic control valve. Simulation results give superior performance of the proposed neural control scheme

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