Pid controller labview full#
Pid controller labview code#
Pid controller labview trial#

The chosen programming environment is National Instruments (NI) LabVIEW, a graphical programming environment with excellent hardware connections to real-world processes. This simple system can be used as a teaching tool. The project aims to implement PI, PID, and SMC control of a DC servo system, both as a simulation and real-world measurement. In the literature, some hybrid solutions are reported to overcome this problem. SMC is usually referred to as an interesting theory, as the mathematical model itself works very well on a theoretical level, but implementation can be a significant challenge. Because of the switching behaviour of sliding mode control, it is commonly used in power electronics. However, when the system has a variable load, rather than nominal ones, using a PI or PID controller does not result in a fast and stable output voltage response.ДЄnother possible method is sliding mode control (SMC). PI and PID control usually satisfies the most common requirements. Both speed and position control are possible with a wide range of controllers, with the most common control method being PI or PID. Permanent-magnet brushed DC motors, and servo drives are widespread in industry and DIY home projects, ranging from low-power versions to vehicle drive systems. However, the more robust but mathematically far more challenging sliding mode control is usually introduced later in graduate studies. Conventional PID control is part of the control engineering curriculum for bachelor-level courses. The ability to experiment with the effects of different control strategies on real-world processes is even more helpful. Simulating control systems helps students understand control methods better than written textbook examples.

Pid controller labview code#

LabVIEW code can be compiled to run on computers, (soft) real-time targets, and FPGAs (hard real-time targets), so students can easily and quickly step up to real industrial measurement and control problems without the need to learn new programming environments. Then a myRIO Student Embedded Device is used to control a real servo system. The first didactic step is a simulation with the Control Design and Simulation, as well as MathScript RT Modules. However, the mathematical background of sliding mode control is difficult compared to conventional PID control the SMC implementation for practical uses can be quite simple, as the presented example demonstrates. The graphical вЂњcodingвЂќ can help novice users to see through their algorithms. Both programming environments and the connection to NI hardware are relatively easy to use, therefore, ideal for education. The control of an actual system with LabVIEW and NI hardware provides an efficient implementation platform, using both LabVIEWвЂ™s graphical programming and the text-based m-file language MathScript RT.

Pid controller labview trial#

Programming PID is actually quite simple, but tuning the P, I and D factors can take some tedious trial and error.The main contribution of this paper is to present the efficiency of LabVIEW in simulating and controlling a servo system with conventional methods (PI and PID control), as well as sliding mode control (SMC). In the real world, we often donвЂ™t even need D or I, with P being sufficient for many tasks. So what we do is use the I (integral) factor to add up the error over time, so that in a relatively brief time even a small error is handled and brought to zero. The acceleration requested by P is less than the D limit, but the car might take an unreasonably long time to finally reach 55 MPH. OK, once we get to 54 MPH, the error is small, but not yet zero.

Pid controller labview full#

If we allow the P (proportional) factor to do its thing, it asks the car to accelerate, in proportion to the error - bigger error, more acceleration.Д«ut we donвЂ™t want to accelerate at full throttle, so we? That much power might cause the car to be unstable on the road, so we limit the maximum acceleration regardless of the вЂњerrorвЂќ to some value - this is the D (derivative) factor. If the carвЂ™s speed is 25 MPH, we have an вЂњerrorвЂќ of -30 MPH. LetвЂ™s say you want to maintain 55 MPH, which we call the вЂњsetpointвЂќ. The PID controller there wants to keep the carвЂ™s speed constant, and correct any changes to the speed within a reasonably brief timeвЂ¦ The first step is to understand what a PID controller is trying to do.ДЄ simple example is a cruise control on a car.