Implementation of Pid on Pic24f Series Microcontroller for Speed Control of a Dc Motor Using Mplab and Proteus

Abstract

Speed control of DC motor is very critical in most of the industrial systems where accuracy and protection are of essence. This paper presents the simulations of Proportional Integral Derivative Controller (PID) on a 16-bit PIC 24F series microcontroller for speed control of a DC motor in the presence of load torque. The PID gains have been tuned by Linear Quadratic Regulator (LQR) technique and then it is implemented on microcontroller using MPLAB and finally simulated for speed control of DC motor in Proteus Virtual System Modeling (VSM) software.Proteus has built in feature to add load torque to DC motor so simulation results have been presented in three cases speed of DC motor is controlled without load torque, with 25% load torque and with 50% load torque. In all three cases PID effectively controls the speed of DC motor with minimum steady state error.

Implementation of Control Algorithms in Small Embedded Systems

“…All ranges and brands have been used. For example, 8-bit microcontrollers were used in [7]- [12], Aslam et al used a 16-bit PIC controller [13] and Krivic et al [14] and Arzak et al [22].…”

“…In Equation 11, we solve for ω (and multiply both sides by the imaginary number j): However, we are not quite done yet; we need to determine the constant k in Equation (13). We determine it so that we get a good mapping for the lowest frequencies; if Ω is "small" then, tan (Ω/2) ≈ Ω/2 and expression (12) is now…”

PLC based model predictive control for industrial process control

“…direct heating, indirect heating, electric arc heating etc. (Aslam et al, 2016a). In this research work direct resistance heating technique is employed in which immersion rod is dipped in the water tank.…”

“…To fulfill high control performance requirements in industry the control methods are mostly based on the proportional, integral and derivative (PID) controller which is widely used since the last few decades (Rathore et al, 2015). It is combination of three terms Proportional, Integral and Derivative and it is mostly used to influence the time-domain response of vast range of dynamic systems (Aslam et al, 2016a). Because of its reliability and tuning issues using it in different environments is a challengeable task and most of the control processes operate at constraints.…”

“…Because of its reliability and tuning issues using it in different environments is a challengeable task and most of the control processes operate at constraints. PID is not abile to work within the predetermined constraints without violating them (Aslam et al, 2016a;Huyck et al, 2012). Model Predictive Control (MPC) is the solution for that and has become a widely-applied control technique in process industry for the control of slow dynamic systems i.e.…”