Open AccessDesign of Robust Speed Controller by Optimization Techniques for DTC IM Drive
Author(s) -
K Mani Indurupalli
Publication year - 2013
Publication title -
international journal of computer networks and communications security
Language(s) - English
Resource type - Journals
eISSN - 2410-0595
pISSN - 2308-9830
DOI - 10.47277/ijcncs/1(1)3
Subject(s) - control theory (sociology) , electronic speed control , controller (irrigation) , pid controller , torque , nonlinear system , computer science , control engineering , induction motor , sensitivity (control systems) , robust control , control system , engineering , control (management) , temperature control , voltage , electronic engineering , physics , agronomy , electrical engineering , quantum mechanics , artificial intelligence , biology , thermodynamics
Direct Torque Control (DTC) of induction motor is preferred control strategy recently, due to its quick torque response, simplicity, less sensitivity against motor parameter variation. In general, PI speed controllers are widely used in industrial applications due to their simple structure. Due to the continuous variation of machine parameters, model uncertainties, nonlinear dynamics and system external disturbance, fixed gain PI controllers may becomes unable to provide the required control performance. Genetic Algorithm (GA) is used to tune the PI controller gains to ensure optimal performance. GA is more attractive for applications that involve non smooth or noisy signals. GA is used to minimize speed error and attains optimal values of the PI controller gains. The efficient and effective speed controllers can be designed by using adaptive control techniques. In which the conventional PI controller is replaced by structures based on Sliding Mode Control (SMC) strategy. SMC is known for its capability to cope with bounded disturbance as well as model imprecision which makes it ideal for the robust nonlinear control of IM drives