Rames C. Panda

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Valve stiction is one of the prominent stand-alone reasons for oscillatory behavior in process industry. Stiction is a common problem in spring diaphragm type valves, which are widely used in the process industry. This behavior leads control valves to deliver accurate feed and thereby allowing wastage of utility. Recently, there have been many attempts to(More)
Autotuning using relay feedback is widely used to identify low order integrating plus dead time (IPDT) systems as the method is simple and is operated in closed-loop without interrupting the production process. Oscillatory responses from the process due to ideal relay input are collected to calculate ultimate properties of the system that in turn are used(More)
Stiction in control valves is an extremely nonlinear and one of the long-standing problems in a closed loop control system, since the controller will push the control valve to move until the controlled variable reaches the desired value. Stiction moves the control valves to extreme positions so that the process output will force to produce overshoot. Then,(More)
Mechanical gears are used to transmit power and motion in mechanical, electrical and chemical process industries. Influenced by vibration, torque, temperature, lubrication and specific film thickness, the gear teeth contacts may experience change leading to unexpected failures such as wear, scuffing, pitting and micro-pitting on teeth surface. In order to(More)
Ideal and biased relays are used to obtain input/output responses from unknown process systems of 3-by-3 Multiple-Input Multiple-Output (MIMO) nature with component transfer functions of first-order-plus-dead-time (FOPDT) (D/ <1) type. To characterize these responses through modeling, a systematic approach is followed to derive analytical expressions for(More)
Unknown process parameters are identified using limit cycle data of the relay–response curves obtained from single relay feedback test on second order plus dead time (SOPDT) processes. Time domain analytical expressions of these curves are helpful in deriving conditions to estimate process parameters accurately. Identification algorithms are formulated to(More)
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