Center for Advanced Control Technologies (CACT)
ESTABLISH a renowned,
interdisciplinary, research and development environment to extend the boundary
of knowledge in control technologies, in partnership with business and
government. Generate a valuable portfolio of intellectual property based on
these new technologies. Assist the center’s business and government partners
with the adoption and application of this intellectual property to significantly
enhance their products, services or internal processes to their competitive
advantage. Disseminate the newly developed knowledge throughout the partner’s
organizations via research reviews and publications, technical workshops and
onsite training, internships, sabbaticals, and research collaboration. Provide
specific problem-solving expertise to the center’s partners in process control,
machine control, system monitoring, diagnostics, machine intelligence, vision
sensing, etc. Maintain a hands-on learning environment for students to develop
and apply these new technologies to solve real-world problems.
The past 80
years have seen great leaps in control theory. Indeed, the advances have been so
great as to spawn an entire new branch of mathematics. Modern control theory has
literally put humans on the moon and brought distant galaxies into focus, but it
has not found its way into the lives of ordinary people, because it is too
complex to understand and apply by any but the most practiced mathematicians. It
unfortunately remains in the realm of rocket science.
CSU has, over
the last few years, built the CACT into a world class research center. The CACT
emphasis is not limited to academic research, but rather addressing the most
timely and difficult commercial and consumer product control issues with cutting
edge control technology. Most control applications use the same PID technology
today as 80 years ago, because it is “good enough” and easy to apply. The CACT
vision is to implement these new control technologies in a manner as simple to
use yet more powerful and reliable than PID.
In the area of developing cutting edge technologies to help companies to
maintain a competitive advantage in industrial control, the CSU research center
is without peer. The CACT is pursuing technologies such as:
Advanced control algorithms: Active
Disturbance Rejection Control, Non-linear PID, multi-variable
time varying control, scaling and parameterization, discrete time
control, adaptive control, self-tuning control, model independent
control, and distributed control systems.
System diagnostics and health monitoring,
System optimization: statistical
sampling, fuzzy logic, neural networks, system estimators, wavelet
transformations, filters, and observers.
2D & 3D optical and vision recognition
Machine intelligence and model building.
Multi-sensor fusion, multi-input and
multi output systems.
Robotics and automation.
Intelligent signal processing.
Hardware in the loop simulation.
Control hardware at all levels: PC based,
card based as well as embedded uP/DSP chip based systems.
Rapid prototyping: electronic design,
circuit layout, in-circuit emulation, enclosure testing.
All of these
technologies have exciting theoretical applications, and the potential to make
machines many times more efficient, but what interests the researchers at the
CACT is their potential to make control practical. This is the most valuable
aspect of these technologies, because that gives them the potential for rapid
and widespread application. These technologies have been proven at the CACT in
many industrial applications:
A Proven Track Record:
Self-tuning web tension regulation.
Advanced industrial temperature control.
Automated screw fastening for assembly.
Medical electronics pressure control.
High speed manufacturing motion control .
On-line motor vibration analysis.
3D optical inspection, object recognition.
Optimization using Taguchi statistical
techniques, fuzzy logic, neural networks.
System monitoring, diagnostics and prognostics
using signature analysis.
3D optical gauging of aircraft tires.
Fuzzy logic optimization of DC motor winding
Adaptive stepper motor field control.
Estimation and real time control of un-measurable
Turbofan engine parameters.
Distributed DC-DC power system with disturbance
rejection and noise immunity.
Web based toolkit for remote modeling of plants
and simulation of advanced control schemes.
Quality monitoring for natural vibrating sources
of structures in space microgravity.
Please Call On Us When You Need Cutting Edge
Technology Put To Practical Use