PID, APC
Introduction to artificial neural networks in control applications
Practical applications of artificial neural networks (ANNs) for control systems, especially for non-linear systems, include simulating time-optimal controllers and for ANN-based controlled system (plant) models. Such models, combined with classical proportional-integral-derivative (PID) controllers, can enable adaptive and other, more sophisticated, control systems.
Evaluating different PID forms
A theoretical basis for effects of different proportional-integral-derivative (PID) forms on idealized line 1st & 2nd order systems.
Top 5 Control Engineering articles November 29 to December 5, 2021
Articles about Engineers' Choice finalists, finite-state machines, AI shortcuts, nanotube-based sensors and SCADA and automation were Control Engineering’s five most clicked articles from November 29 to December 5, 2021. Miss something? You can catch up here.
Understanding APC limits and targets
Process automation and optimization need to use automated multivariable control so it evolves into an industry core-competency, providing low cost, low maintenance and high agility with long life-cycle technology instead of manual multivariable control. Understand limits and targets of advanced process control.
Control Engineering hot topics, September 2021
Control Engineering's most clicked articles in September 2021 included stories on the 2021 Engineering Leaders Under 40, APC and control system improvements, COVID-19 testing, digital transformation ROI and more. Miss something? You can catch up here.
Top 5 Control Engineering articles August 30 to September 5, 2021
Articles about APC improvements, industrial products, face mask prototypes, industrial products, control system improvements and jumpstarting a successful IIoT program were Control Engineering’s five most clicked articles from August 30 to September 5, 2021. Miss something? You can catch up here.
Control system improvements: Feed-forward, adaptive, fuzzy control
Control methods that can be more effective than proportional-integral-derivative (PID) controllers, include feed-forward control, disturbance compensation, adaptive control, optimal PID control and fuzzy control.
Understanding the matrix for APC improvements
More agile tools are helping multivariable control become more effective for advanced process control and other applications than traditional model-based control (MPC) and real-time optimization. Process engineers, operations personnel, DCS and APC engineers, and other process operation and optimization stakeholders benefit from understanding the matrix.
Top 5 Control Engineering articles August 2-8, 2021
Articles about multivariable control, optimizing manufacturing processing, robotic 3D manufacturing, rotary knife applications and Control Engineering hot topics were Control Engineering’s five most clicked articles from August 2-8, 2021. Miss something? You can catch up here.
Multivariable control as a core competency
A healthy multivariable advanced process control (APC) layer should be a core-competency of the process industries.
