Automated Monitoring and Assessment of Controller Performance

The automation of methods for monitoring and assessment of controller performance can permit their wide spread and frequent use. Minimum variance control provides a useful benchmark for assessing the controller performance and cross correlation analysis can be used to identify the cause(s) of poor performance. Discrimination between plant model mismatch and poor controller tuning, isolation of poor feedback control or poor feedforward control …