With complex production processes, this chrome ore processor needed to ensure optimal control of its operations to meet quality, energy and throughput targets. Potential areas for optimization that were identified were base layer (PID) control as well as implementing Advanced Process Control (APC) on complex unit operations.
Process challenges included the need for better pH control, greater stability, and an opportunity to maximize throughput on the crystallizers. There were many manual processes that were heavily paper-based in an overall reactive environment.
Control loop management was a key area, where automation staff did not have enough visibility into loop problems to be proactive. They were reliant on the operators and production staff to surmise when operation parameters moved outside control limits and to let the automation team know if they thought it was controller-related.
It was also difficult and time consuming to get to root causes of control deviations. Issues with loops could include tuning, control-element sizing, plant design (such as process conditions changing faster than the controller could handle), manual operator issues, and large disturbances in the process.
Examples of control loop problems -Tuning (A), Plant (B), Operator (C)and Process (D).Not only was it difficult to control operations within set parameter; it was challenging to optimize operations, keeping values as close to the control limits as possible.
The interdependency of variables made goals such asenergy optimization and process optimization challenging.
The company sought a solution that would form part of a continuous improvement cycle so that the control system would never be static but would rather contribute towards incremental process improvements. It wanted an innovative way to help run its operations smarter, faster and better with less manual interaction—optimizing its production and profitability for utmost competitiveness.
"[Velotic's] solution allowed us to tune all our control loops to an acceptable level and empowers process personnel to identify plant problems on a daily basis."