PID Control Solved

Ever since PID (Proportional, Integral & Derivative) control was used, people tried to figure out 3 PID control constants. Currently there are more than 100 different tuning methods available but there are no universal tuning methods that can handle variety of control systems. Now we have !

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Autonomous Control

precise and automatic

Our proprietary algorithm not only can explicitly solve 3 PID control constants but also can handle nagging dead time (lag time). This revolutionary algorithm has auto-tuning capability replacing current tuning methods which is labor intensive and time consuming. Our algorithm can achieve the target value at the fastest time possible without any instability or overshoot due to our proprietary technology. Any desired time varying target value can be achieved with minimal error (< 1%).

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Zero Model Architecture

with our algorithm

Our algorithm goes beyond current single variable PID controller since it has multi-variable control capability built-in. Our algorithm can be driven by sensor data alone. But it also can work with available system models if available to determine the control response. Our product is truly autonomous requiring minimal initial user input. Our product can be loaded onto Siemens or Rockwell PLC (Programmable Logic Controller) as an auto-controller option to interface with the existing control systems.

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Real World

validation

We've selected temperature controller as our algorithm verification test hardware since temperature controller utilizes all 3 PID control constants. We've validated our algorithm with 1, 2, 3 & 4 variable PID control hardware. The worst case transient error with time varying target value was less than 2% throughout the testing.

Multi-Variable Adaptive Control (MVAC) algorithm is a system response driven algorithm unlike PID which is error driven controller. MVAC algorithm not only has error correction but also sensor data driven system response built-in. This MVAC's feature make possible for a target variable to follow any desired time varying profile. Since MVAC algorithm determines system response autonomously, development of a system model for the controller is not necessary. This frees scientists and engineers to concentrate on design rather than developing control strategies.

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Peformance

and speed

MVAC controller is 2 to 10 times faster than that of traditional PID controller due to its proprietary technology. Since MVAC can substantially improve controller speed, the overall manufacturing processing will improve proportionally. Implementation of MVAC will give you a leg up on your competitors in addition to time and cost savings. Since MVAC algorithm can work on any unknown linear system similar to PID, it is applicable to any linear control systems.

Any application where PID controllers are being used, MVAC can perform better, faster and cheaper with numerous additional state-of-art capabilities. The additional capabilities include handling of system time lag, unconditional stability, any desired time varying profile of target sensor, multi-variable disturbances, switching of control variable and target sensor is possible during operation reducing redundancy, notification of error build-up and only one initial user input is required.

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A State-of-Art PID For A Modern Age

Ever since PID (Proportional, Integral & Derivative) control was used, people tried to figure out 3 PID control constants. Currently there are more than 100 different tuning methods available but there are no universal tuning methods that can handle variety of linear and non-linear control systems. Now we have !

Autonomous Control

Our proprietary algorithm not only can explicitly solve 3 PID control constants but also can handle nagging dead time (lag time). This revolutionary algorithm has auto-tuning capability replacing current tuning methods which is labor intensive and time consuming. Our algorithm can achieve the target value at the fastest time possible without any instability or overshoot due to our proprietary technology. Any desired time varying target value can be achieved with minimal error.

Zero Model Architecture for Linear Systems

Our algorithm also has multi-variable PID control built-in that goes beyond current single variable PID controllers. Our algorithm is strictly driven by sensor data for linear systems, but also can work with user supplied system models for the non-linear systems as well. Our product is truly autonomous requiring minimal user inputs. Our product can be loaded onto Siemens or Rockwell PLC (Programmable Logic Controller) to interface with the existing control systems.

Validation

We've selected temperature controller as our algorithm verification hardware since temperature controller utilizes all 3 PID control constants. We've validated our algorithm with 1, 2 & 4 variable PID controller hardware. The worst case validation error with time varying target value was less than 1%. The non-linear system control is validated with multiple simulation models, from robotics to self driving car and aircraft.

Peformance and Speed

Our Universal Control Algorithm (UCA) is 2 to 10 times faster than that of traditional controllers due to its proprietary technology. Since UCA can substantially improve controller speed, the overall manufacturing processing will improve proportionally. Implementation of UCA will give you a leg up on your competitors in addition to time and cost savings. Since UCA algorithm can work on any linear or non-linear systems, it is applicable to any control systems.

Any application where PID controllers are being used, UCA can perform better, faster and cheaper with numerous additional state-of-art capabilities. The additional capabilities include handling of system time lag, unconditional stability, any desired time varying profile of target sensor, multi-variable disturbances, switching of control variable and target sensor due to sensor failures are possible during operation reducing redundancy in design. Notification of error build-up during operation will forewarn potential controller failure in advance.

Slide Presentation

Video Footage

Nonlinear Simulation Video

Thermal Test Video

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For licensing or inquires, please contact us at the email address below.