Performance Evaluation Software

In industrial production, Proportion Integration Differentiation control (PID control for short) strategy is used most widely, which is adopted in more than 90% of automatic control loops. Advantages of PID control: simple structure, easy to adjust, strong robustness. 

The performance of a control loop will degenerate along with increasing in continuous operation time of production equipment, there are different degree of performance defects in 60% of control loops in equipment, if key control loops can't be maintained effectively in time, control performance being poor will not only have an effect on stability of equipment operation, product quality, product yield, material consumption and energy consumption, but also endanger safety of equipment operation when it's severe. Therefore, keeping stable self-control rate and performance of control loops has great significance for "safe, stable, long, full, excellent" equipment operation. 

SUPCON PID performance assessment software use daily operating data of control loop to compute and evaluate its control performance so that the manager can master states and performance of hundreds of PID control loops in the company and find and recognize defects in control loops. In addition, the software can optimize PID parameters to help improve performance of control loops. 

PID control loop performance assessment

When production devices are operating normally, the PID performance assessment software will collect production data automatically to achieve real-time and automatic detection of PID loops, and grade them as excellent, good, mediate, poor and ring opening with multidimensional analysis tools for control performance combining with experts' experiences and knowledge. Find performance problems in control loops at the first moment to help users tell reasons causing performance problems through radar map. SUPCON PID performance assessment software provides a real-time and reliable information management tool for long term, stable and effective operation of PID controller. 

Realize refined management of control loops 
PID performance evaluation software can provide quantitative results of control loop performance multidimensional evaluation; help the manager promote the single self-control assessment of control system to PID loop performance evaluation and management, which is good for fully improving efficiency and level of control loop management. 

  1. Support multiple application of management and control integration 
  • With reasonable configuration and deployment, PID performance assessment software can satisfy different level requirements of control loop performance management such as companies, factories and devices, find those control loops with performance defects in time and help the manager carry out maintenance and management of PID loops effectively. 
  • PID performance assessment software can help users to complete automatic inspection of control loops; find and position control performance problems in time and provide PID parameter optimization suggestive values according to requirements to promote the pertinence and efficiency of daily PID loop maintenance. 
  • The improvement of PID loop control performance will help production equipment in the best operation state to improve safety, energy saving and cost reducing and increase revenue, which is one of the best benefits in enterprise deepening management. 
Comprehensive index assessment method 
  • Operational percentage: time percentage of loop in auto-control mode 
  • Performance score: score for loop performance after comprehensively evaluating the loop 
  • Performance level: performance grade of loop performance after comprehensively evaluating the loop 
  • Oscillation condition: qualitative description of oscillation in the loop 
  • Nonlinear degree: Probability analysis of non-linear in the loop, the nonlinearity mainly comes from process and valves. 

Minimum-variance assessment method 
Use minimum variance control (MVC) assessment method in control loop performance assessment. Basic principle: regard the control performance of optimum minimum variance controller in theory as assessment baseline, and evaluate the control performance of current loop based on data analysis in the normal operation process. 

Loop oscillation detection 
Analyze real-time data of control loops (measured value PV/setting value SP/valve position value OP), detect it to fined oscillation in the loop according to data properties in time domain and frequency domain and compute the oscillation strength to help users understand loop oscillation. 

Nonlinear process detection 
Detect whether the loop is linear based on real-time data of control loops (measured value PV/setting value SP/valve position value OP), and assist users to investigate potential problems (e.g. valve, process and oscillation) 

IMC parameter tuning method 

Automatically identify and select fully incentive data segment to recognize models by using real-time data of control loops (measured value PV/setting value SP/valve position value OP), then optimize PID parameters with IMC method based on the model. 


Assessment report overview 

Overall analysis of control loop performance in device level 
  • Overall rating for all loops 
  • Operation trend analysis of key indexes 
  • Loop performance distribution chart 

Assessment loop list 
Sorting and sifting of key loop 
  • Excellent, good, moderate, poor, ring opening hierarchical browsing 
  • User-defined assessment criteria 
  • User-defined loop performance sorting

Loop performance assessment and analysis
  • Multidimensional quantitative assessment for performance index 
  • Positioning analysis of problems in loop performance 

Second statistic analysis of loop assessment report 
  • Historical operating condition analysis record 
  • Historical trend of control performance index