Tag Archives | Instrumentation

FIRST-ISA-Automation-Federation-STEM

Shaping the Future of Our Profession and Association

In a few days, an event will take place in two American cities that will play an important role in encouraging high school students to pursue careers in engineering and automation. The 2017 FIRST® Championship – an annual celebration of young people’s passion for science, technology, engineering, and mathematics (STEM) – will take place 19-22 […]

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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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time-for-change

ISA Needs to Change, but How?

As you’ll recall, I stated in my February post that ISA’s long-term value and success depend on our ability to embrace change and become:  more flexible, more adaptable, faster to market, and less reactive. So how do we move ahead and work to achieve these change goals? First of all, driving organizational changes begins at […]

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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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How-to-Solve-Common-Industrial-Alarm-System-Problems

How to Solve Common Problems with Industrial Alarm Systems

If you work in a plant that processes oil, chemicals, pharmaceuticals, power, water, wastewater, or food, you probably have problems with alarms on the automation system. In fact, you probably have the same problems that most other users have. The bad news is that it turns out that the common problems of alarm management are […]

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