Abstract
Pneumatic control valves are still the most used devices in the process industries, due to their low cost and simplicity. This paper presents a regulator for pneumatic control valves using pole-placement method, optimal control, full-order state observer, and minimum-order state observer and their responses will be compared with each other. Bondgraph method has been used to model the control valve. Simulation results have been made for four models of regulator. The results show that minimum overshoot and settling time are achieved using optimal regulator of pneumatic valve.
Highlights
Process plants consist of hundreds, or even thousands, of control loops all networked together to produce a product to be offered for sale
Each of these control loops is designed to keep some important process variables such as pressure, flow, level, and temperature. within a required operating range to ensure the quality of the end product
We consider the design of regulator system with full- and minimum-order observers and quadratic optimal regulator of pneumatic valve
Summary
Process plants consist of hundreds, or even thousands, of control loops all networked together to produce a product to be offered for sale Each of these control loops is designed to keep some important process variables such as pressure, flow, level, and temperature. Industry standard has been established that details the vibration, humidity, thermal, salt spray, and temperature extremes that these valves must operate within This makes the design of valve control systems a very challenging task. The effects of supply pressure, step size, load margin, flow, actuator volume, and design style are investigated through the use of mathematical simulations of pneumatic control valve dynamic performance.
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