Technical paper: Zhu, Y.C. (2003). Robust PID tuning using closed-loop identification. Proceedings of International Symposium on Advanced Control of Chemical Processes. 11-14 January, 2004, Hong Kong, China.
For process industries with large-scale PID loops, complex processes, demanding performance requirements, and difficult parameter tuning, Tai-Ji PID® offers PID loop performance monitoring & diagnosis and PID parameter tuning functionalities. Based on B/S architecture, Tai-Ji PID® uses OPC protocol for second-level data refresh, supports all DCS types, and handles up to 4,000 PID loops per software instance. It also provides secondary development interfaces for deep integration with MES, DCS, and other enterprise systems.
PID Loop Performance Monitoring & Fault Diagnosis
- Auto-Assessment: Periodically evaluates large numbers of PID loops automatically.
- Smart Classification: Auto-categorizes loop operating conditions based on assessment results.
- Fault Isolation: Auto-diagnoses and isolates standard faults.
- Rule Customization: Creates tailored loop evaluation rules for specific process requirements.
Evaluates loop operating conditions through multiple indicators, automatically generating comprehensive scores and overall assessments.
PID Controller Tuning
Using automated, multi-loop, closed-loop testing and system identification, it builds high-precision models and calculates controller parameters directly based on IMC (Internal Model Control) tuning formulas. It effectively eliminating the tedious trial-and-error process of traditional tuning methods while delivering superior tuning results. The PID tuning method is adopted by Honeywell, Exxon Mobil, Saudi Aramco, Bayer, BASF, Sinopec, and CNPC.
