Self-healing adaptive controller for industrial asset abnormality accommodation

A computerized method to protect an industrial asset, comprising:

• accessing, by a computer processor of an offline model tuning platform, training data from normal operation of the industrial asset and simulated abnormal data from a training data store;
• based on the training data from normal operation of the industrial asset, the simulated abnormal data, an abnormal operating condition, and a constrained optimization solution, creating controller tuning parameters for at least one tuned data-driven adaptive controller such that an operating condition of the industrial asset will move from the abnormal operating condition to a normal operation condition through a stable trajectory;
• and
• receiving, by an online monitoring platform, a stream of current monitoring node values and, when the abnormal operating condition is detected, utilizing the controller tuning parameters from a controller reference library to implement the at least one tuned data-driven adaptive controller.

A non-transitory, computer-readable medium storing instructions that, when executed by a computer processor, cause the computer processor to perform a method to protect an industrial asset, the method comprising:

• accessing, by a computer processor of an offline model tuning platform, training data from normal operation of the industrial asset and simulated abnormal data from a training data store;
• based on the training data from normal operation of the industrial asset, the simulated abnormal data, an abnormal operating condition, and a constrained optimization solution, creating controller tuning parameters for at least one tuned data-driven adaptive controller such that an operating condition of the industrial asset will move from the abnormal operating condition to a normal operation condition through a stable trajectory;
• and
• receiving, by an online monitoring platform, a stream of current monitoring node values and, when the abnormal operating condition is detected, utilizing the controller tuning parameters from a controller reference library to implement the at least one tuned data-driven adaptive controller.