This paper proposes a model reference tracking based fuzzy adaptive PI (MRFAPI) controller for non-linear process plant. The second order reference model is proposed for the system. The conical-tank level process system is used as a process plant. The proposed MRFAPI controller is combined with fuzzy logic and conventional variable PI controllers. The on-line estimation of the controller parame...

nowadays statistical control process plays an important role in quality control of products. so wide variety of methods are utilized to do so. but since the most percentage of available information in the discrete control charts are verbal terms, fuzzy and vague ,in most cases it is difficult for us to refine them into the quantitative data. thus in this article we are to change these verbal da...

Stiction is one of the most common problems in the spring-diaphragm type control valves, which are widely used in the process industry. Although there have been many attempts to understand and detect stiction in control valves, none of the current methods can simultaneously detect and quantify stiction. There is thus a clear need in the process industry for a non-invasive method that can not on...

The objective of this paper is to complement the effluent quality (EQI) and operational cost (OCI) indices used to evaluate (plant-wide) control strategies in wastewater treatment systems with a new dimension dealing with greenhouse gas (GHG) emissions. The GHG evaluation is based on a set of comprehensive dynamic models that estimate the most significant potential on-site (secondary and sludge...

although control charts are very common to monitoring process changes, they usually do not indicate the real time of the changes. identifying the real time of the process changes is known as change-point estimation problem. there are a number of change point models in the literature however most of the existing approaches are dedicated to normal processes. in this paper we propose a novel appro...

In some cases, legacy control systems can no longer meet corporate objectives that include enterprise-wide sharing of business information. Nor are they a reliable and sustainable solution providing a high degree of diagnostic information to ensure the health of plant assets and keep the process running longer with proactive maintenance. Plants with outdated controls also face issues related to...

The complexity of decision-making in process industries and the need of highly competitive organizations require new supporting tools to coordinate and optimize the information flow among decision levels. This work presents a framework for integrating the scheduling and control decision levels by means of an ontology, which allows and coordinates the information exchange among the different mod...

A plant-wide control strategy based on integrating linear model predictive control (LMPC) and nonlinear model predictive control (NMPC) is proposed. The hybrid method is applicable to plants that can be decomposed into approximately linear subsystems and highly nonlinear subsystems that interact via mass and energy ̄ows. LMPC is applied to the linear subsystems and NMPC is applied to the nonlin...

Mintek, specialists in mineral and metallurgical technology, have developed advanced optimisation control strategies in milling, flotation and smelting. The strategies address process specific problems namely downstream flow disturbances in flotation circuits from open milling circuits, fluctuating grade and recovery of flotation circuits and furnace fault conditions including power trips and e...

BACKGROUND DNA-based testing has been gaining acceptance as a tool for authentication of a wide range of food products; however, its applicability for testing of herbal supplements remains contentious. METHODS We utilized Sanger and Next-Generation Sequencing (NGS) for taxonomic authentication of fifteen herbal supplements representing three different producers from five medicinal plants: Ech...