Testimonials:

“Our hydrotreater XMC application provided improved sulfur control, increased product value through optimized aromatic saturation, and reduced operator loading, which freed up time for other console tasks and priorities. The application was easy to deploy and has run essentially maintenance free for nearly two years now.” 

— Process Automation Supervisor, major US refiner

“Much of the traditional large matrix multivariable or model-based control technology has been difficult to use and support, resulting in poor operator acceptance and eventual degradation of the plant models, which impacts process performance. It appears that APC Performance has designed XMC™ to target the optimization gap between traditional advanced regulatory control and the large matrix model-based controllers to make the solution simpler to implement, support, and maintain and much easier for the operator to use, which should result in better acceptance.”   

— Peter Reynolds, Industry Analyst, ARC Advisory Group

“XMC rate predictive control is amazingly agile and stable without the complexity of models. Deployment is easy, and operator acceptance has been positive. Also the maintenance requirements are minimal compared to PID or MPC.” 

— Gregory W. Hampton, P. E., APC Engineer, CITGO Petroleum Corporation, Lake Charles, Louisiana

Rate-Predictive Control (RPC) is a powerful and elegant control algorithm. It is stable under a wide range of conditions and handles deadtime well, too. By following straightforward and conservative guidelines, RPC can be quickly tuned with minimal process information. Furthermore, RPC is incredibly robust and can handle significant process changes without retuning. I have been probing RPC for weaknesses and only become more impressed with its reliability and performance.”

— David M. Bagley, Ph.D., P.E., Professor of Chemical Engineering, University of Wyoming

Model-less process control technology chosen as Best Control Finalist by Hydrocarbon Processing 2017 Awards

The case for model-less multivariable control, winner of 2015 ISA Nels Tyring Award for Best Article