Adaptive control surpassing PID

The advent of microprocessors and advanced computing platforms has catalyzed the shift to adaptive controllers from proportional-integral-derivative (PID) controllers in process industries, claims Frost & Sullivan. In its “Continuous Adaptive Control – Technology Developments” report, the research firm notes that adaptive control is increasingly used for its ability to imp...

05/01/2008


The advent of microprocessors and advanced computing platforms has catalyzed the shift to adaptive controllers from proportional-integral-derivative (PID) controllers in process industries, claims Frost & Sullivan. In its “Continuous Adaptive Control– Technology Developments” report, the research firm notes that adaptive control is increasingly used for its ability to improve performance in mechanical and non-mechanical systems.

According to Control Engineering consulting editor Vance VanDoren, “These latest control methodologies offer a means to revolutionize plant and process efficiency, response time, and profitability by allowing a process to be regulated by a form of rule-based artificial intelligence, without human intervention.”

Adaptive controllers evolved from a solution for low-bandwidth applications to serve higher-bandwidth applications such as robots, spacecraft, and complex machining processes, claims the Frost & Sullivan report. Missile control and guidance, fluid drive, industrial process control, power drag, firepower control system, ship navigation, and other nonlinear mechatronic systems now depend on this technology.

Frost & Sullivan research analyst S. Menaka says, “While designing such complex and highly cognitive systems, developers need to be conscious of the time sensitivity of input and output data. Engineers also have to consider other factors such as machine-human interface, ability to create cognitive solutions in a stipulated time, real-time performance control of the system, architecture independence, data normalization, and other such related factors.”

The “Continuous Adaptive Control– Technology Developments” report is part of the Frost & Sullivan’s Technical Insights subscription, which provides analysis of elements involved in the concept, PID controller, and tool path optimization software. It includes techniques of adaptive control such as model reference adaptive control, model-free adaptive control, auto-tuning and self-tuning controllers, applications in domains, and trends.

www.frost.com





No comments
The Engineers' Choice Awards highlight some of the best new control, instrumentation and automation products as chosen by...
The System Integrator Giants program lists the top 100 system integrators among companies listed in CFE Media's Global System Integrator Database.
The Engineering Leaders Under 40 program identifies and gives recognition to young engineers who...
This eGuide illustrates solutions, applications and benefits of machine vision systems.
Learn how to increase device reliability in harsh environments and decrease unplanned system downtime.
This eGuide contains a series of articles and videos that considers theoretical and practical; immediate needs and a look into the future.
Sensor-to-cloud interoperability; PID and digital control efficiency; Alarm management system design; Automotive industry advances
Make Big Data and Industrial Internet of Things work for you, 2017 Engineers' Choice Finalists, Avoid control design pitfalls, Managing IIoT processes
Engineering Leaders Under 40; System integration improving packaging operation; Process sensing; PID velocity; Cybersecurity and functional safety
This article collection contains several articles on the Industrial Internet of Things (IIoT) and how it is transforming manufacturing.

Find and connect with the most suitable service provider for your unique application. Start searching the Global System Integrator Database Now!

SCADA at the junction, Managing risk through maintenance, Moving at the speed of data
Flexible offshore fire protection; Big Data's impact on operations; Bridging the skills gap; Identifying security risks
The digital oilfield: Utilizing Big Data can yield big savings; Virtualization a real solution; Tracking SIS performance
click me