pid control of 2nd order mass force system labview vi download

Now double-click on the Transfer Function block to input the transfer function parameters.įigure 3. This places a Transfer Function block inside the Control & Simulation Loop. Create a Control & Simulation Loop.Īgain on the Simulation subpalette, select Continuous Linear Systems and click once on Transfer Function and once inside the Control & Simulation Loop you created previously. On the Functions Palette, select Control Design & Simulation->Simulation->Control & Simulation Loop then click and drag to size and create a Control & Simulation Loop.įigure 1. Start by opening the LabVIEW Development Environment and navigating to the Block Diagram. Your goal is to implement a PID algorithm that is going to run on a Real-Time controller with a loop rate of 1000 Hz (0.001 second period). If you replace the numeric values, you get the following transfer function: For the sake of simplicity consider a basic transfer function for a DC motor where effects such as friction and disturbances are being considered:ī is the Friction Torque Constant (1.8E-6 N-m-s) The resulting multiple controller has been tested under real conditions and the results are presented and discussed.In this tutorial, we will design the velocity controller for a DC motor. The switch among controllers as a function of air flow rates and temperatures is carried out using programming logic and gain scheduling technique, respectively. The resulting output air temperature control is composed of a set of 12 PI and PID controllers. The controller parameters have been calculated using the Ziegler-Nichols tuning method. Process identification techniques have been used to obtain empiric models for different operation ranges of the electric furnace. It consists in discretizing the air flow rates and working temperatures in intervals where the system behaviour is considered as single-input single-output (SISO) linear plant. A divide-and-conquer (D&C) approach is applied. It consists of a multiple-input single-output (MISO) nonlinear plant designed to heat air at flow rates in a range between 10 and 60 Nm 3 /h, from ambient temperature up to 1000 C.

(2017) Identification model and PI and PID controller design for a novel electric air heater, Automatika, 58:1, 55-68, ABSTRACT In this article, the software and hardware control architecture for a novel high-temperature three-phase electric air heating furnace is presented.

Pid control of 2nd order mass force system labview vi download