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Automation industry articles from ISA

Automation-Competency-Model-Helps-Guide-Future-Technical-Workforce

Automation Competency Model Helps Guide Future Technical Workforce

In 2007, the Automation Federation (AF) delegation told an audience at the Employment and Training Administration (ETA) about the people practicing automation careers in industry. Not long before our visit, the ETA, part of the U.S. Department of Labor (DOL), had worked with the National Institute of Standards and Technology (NIST) to develop a “competency […]

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Pervasive-Sensing-Reduces-Costs-Prevents-Downtime

Industrial Pervasive Sensing Reduces Costs and Prevents Downtime

There has never been a greater need for plant reliability and energy efficiency. Both depend upon actionable information: plant operators need to know what is happening everywhere in the plant, often in close to real time. This was seldom done in the past, mainly for cost reasons. However, the availability of innovative sensors (many of […]

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DC-Servomechanism-Parameter-Identification-Closed-Loop-Approach

DC Servomechanism Parameter Identification: Closed-Loop Approach

  Abstract: This paper presents a Closed Loop Input Error (CLIE) approach for on-line parametric estimation of a continuous-time model of a DC servomechanism functioning in closed loop. A standard Proportional Derivative (PD) position controller stabilizes the loop without requiring knowledge on the servomechanism parameters. The analysis of the identification algorithm takes into account the control […]

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Robust-SDRE-Filter-Design-for-Nonlinear-Uncertain-Systems

Robust SDRE Filter Design for Nonlinear Uncertain Systems

Abstract: In order to remedy the effects of modeling uncertainty, measurement noise and input disturbance on the performance of the standard state-dependent Riccati equation (SDRE) filter, a new robust H∞ SDRE filter design is developed in this paper. Based on the infinity-norm minimization criterion, the proposed filter effectively estimates the states of nonlinear uncertain system exposed […]

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Self-Tuning-Control-Strategies

Self-Tuning Control Strategies Within Two Adaptive Perspectives

Abstract: This paper presents a study on self-tuning control strategies with generalized minimum variance control in a fixed two degree of freedom structure – or simply GMV2DOF – within two adaptive perspectives. One, from the process model point of view, using a recursive least squares estimator algorithm for direct self-tuning design, and another, using a Mamdani […]

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Dynamic-Simulation-and-Control-in-Natural-Gas-Processing-Plants

Dynamic Simulation and Control in Natural Gas Processing Plants

  Abstract: This manuscript highlights tangible benefits deriving from the dynamic simulation and control of operational transients of natural gas processing plants. Relevant improvements in safety, controllability, operability, and flexibility are obtained not only within the traditional applications, i.e. plant start-up and shutdown, but also in certain fields apparently time-independent such as the feasibility studies of […]

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Robotics-Developers-Focus-on-Safety-and-Efficiency-in-Automation-Age

The Autonomous Workplace: Robotics Developers Focus on Safety

A new wave of automation is building, and it will affect (almost) everything. Robotic technology was once limited to operating behind light curtains, cages, and doors. Now, mobile robots are breaking away from these traditional confines to appear in dynamic, peopled environments like offices, health-care facilities, classrooms, factory floors, agriculture, and distribution centers. The convergence […]

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