Dynamic multivariable control with fuzzy logic for process optimization
A fuzzy logic-based multivariable control solution that dynamically adjusts process parameters like moisture, temperature, and dosage, improving yield and efficiency. Integrates seamlessly with real-time sensors and digital twins for optimal performance across various materials.
Overview
Xiera Technologies Inc presents a cutting-edge solution for optimizing industrial processes using a multivariable fuzzy logic controller. This innovative approach addresses the complex interactions between moisture, temperature, and dosage, dynamically adjusting these parameters in real-time. Unlike traditional PID controllers, which often require retuning for different materials and may work in conflict with each other, our solution provides a coordinated and intelligent control mechanism that enhances yield, throughput, and energy efficiency.
Technical specifications
Our solution integrates with real-time sensors and digital twins to predict and adjust process parameters. The fuzzy logic controller manages all three critical loops simultaneously, eliminating the need for retuning with new materials. This system requires input-output data from the manufacturer and a digital twin I/O/API from a vendor to function optimally.
Key features include:
- Automatic tuning to select the optimal model (linear, nonlinear, or fuzzy)
- Safety limits and bumpless transfer features
- Simulation tests and twin-in-the-loop verification for KPIs
- Seamless integration with plant control systems for full operational control
Technology readiness level
Currently at Technology Readiness Level 5, our solution has been validated in relevant environments and is ready for further testing and integration. The next steps involve connecting to plant systems, conducting shadow and parallel closed-loop dry-runs, and gradually enabling full control operations to track performance metrics such as energy consumption, yield, and variability.
About Xiera Technologies Inc
Xiera Technologies Inc. is a Canadian technology company that specializes in artificial intelligence, specifically focusing on fuzzy logic for industrial and embedded control applications. The company has developed a proprietary suite of software and hardware solutions, known as edeX and gdeX, designed to automate the tuning of fuzzy logic controllers. By leveraging machine learning to handle complex multivariable interactive systems, these tools enable systems engineers and manufacturers to improve control precision and operational efficiency without requiring deep, in-house expertise in artificial intelligence or extensive manual testing.
This technology is intended to help industrial operators and product designers reduce energy consumption, lower carbon footprints, and accelerate the development of smart products. Xiera’s solutions have been validated through collaborations with academic institutions such as Mohawk College, where testing demonstrated that their intelligent fuzzy logic controllers could achieve smoother steady-state responses and faster performance compared to traditional Proportional–Integral–Derivative (PID) controllers. The company actively engages with manufacturers across various sectors to integrate these control methodologies into systems such as distillation columns, battery chargers, and water heaters.
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