Implementation of higher order sliding mode control of DC–DC buck converter fed permanent magnet DC motor with improved performance

Abstract

In this paper, an attempt is made to improve the performance of permanent magnet DC (PMDC) motor using third order sliding mode control. From the derived mathematical modelling for buck converter fed permanent magnet DC motor, expressions for both classical sliding surface (CSS) and proportional integral derivative sliding surface (PIDSS) with the third order sliding mode control is derived and compared analytically. Simulation work is done for PI controller, sliding mode control (SMC), third order CSS and third order PIDSS by using Matlab/Simulink to validate the performance of the above said controllers under no-load condition and various load torque conditions such as: constant load torque, frictional load torque, fan type load torque, propeller type load torque and undefined load torque. Experimental results are obtained with PMDC motor to validate the proposed control method for various speeds with different constant load torque conditions. Comparisons are carried out both in simulation and real time for PI controller, SMC, CSS and PIDSS based on the speed settling time and steady state error. Satisfactory results are obtained and presented in this paper.

Hierarchical Flatness-Based Control for Velocity Trajectory Tracking of the “DC/DC Boost Converter–DC Motor” System Powered by Renewable Energy

“…The fourth simulation, presented in Fig. 6, introduces the abrupt changes (18) in capacitor C. This result also uses the power supply generated through (19).…”

“…For example, a nonlinear control [5], a fuzzy logic controller along with a linear quadratic regulator [6], fractional order controls [7]- [10], and an affine controller [11], were based on the well known PID. In a different direction, the ZAD techniques [12]- [15], sliding modes with dynamic surface [16], a finitetime disturbance observer [17], a continuous nonsingular terminal [18], and three variations of sliding modes [19], are papers were sliding modes were used as the basis control. On the other hand, differential flatness proposals [20] and [21], differential flatness and PI plus sliding modes [22], and linear PI controllers [23], were designed based on a hierarchical approach.…”

Robust Flatness-Based Tracking Control for a “Full-Bridge Buck Inverter–DC Motor” System

“…In the meantime, papers based on the sliding mode control (SMC) were presented by Wei et al, Silva-Ortigoza et al, and Hernández-Guzmán et al in [19][20][21], respectively. More recently, other studies based on SMC were exhibited by Rauf et al in [22,23] and by Ravikumar and Srinivasan in [24]. Another solution was implemented by Khubalkar et al via fractional order PID controllers, whose tuning was executed with a dynamic particle swarm optimization (dPSO) technique [25], with an improved dPSO technique [26], and by using an ant colony optimization technique [27].…”

“…(d) Tracking errors of υ, when the desired profile ω * is given by (23). (e) Tracking errors of ω, for ω * defined by (24). (f) Tracking errors of υ, for ω * defined by (24).…”

“…(e) Tracking errors of ω, for ω * defined by (24). (f) Tracking errors of υ, for ω * defined by (24). (g) Tracking errors of ω, for the desired trajectory considered in (25).…”