Automation software APC

controlqualityoptimization

The Various Challenges You May Encounter Will Be Solved by Our Technical Expertise Normal PID control struggles to effectively address challenges such as significant lag and multivariable coupling. Low self-control rate of the device results in difficult production, high labor intensity and costs. Unstable key process parameters result in unstable control of product quality indicators. High power consumption in device production, low yield of target products, and poor economic performance. Enhance Plant Reliability and Availability HollySys presents the HiaAPC optimization control platform to address user requirements. Integrating advanced methodologies like multivariable predictive control, fuzzy control, adaptive control, and intelligent control, it surpasses the limitations of conventional PID control. Specifically designed to tackle control challenges in process industries involving multivariable issues, strong coupling, large lag, inertia, and nonlinearity, it enhances automation, boosts economic efficiency, and reduces labor costs and emissions. Features Multivariable Predictive Control HiaAPC fully meets the various requirements in practical control systems. It primarily employs MPC algorithms, supplemented by fuzzy control algorithms, and incorporates expert algorithms developed by HollySys over the years in the petrochemical and fine chemical industries. This ensures both system performance and controller robustness. Expert Intelligent Control With the Product Quality Expert Control System, we analyze real-time data from key operations, intelligently optimizing parameters for top-notch quality. With precise assessments