SUMMARY: This paper presents a novel robust hybrid fractional order proportional derivative sliding mode controller (HFOPDSMC) for 2-degree of freedom (2-DOF) robot manipulator based on extended grey wolf optimizer (EGWO). Sliding mode controller (SMC) is remarkably robust against the uncertainties and external disturbances and shows the valuable properties of accuracy. In this paper, a new fractional order sliding surface (FOSS) is defined. Integrating the fractional order proportional derivative controller (FOPDC) and a new sliding mode controller (FOSMC), a novel robust controller based on HFOPDSMC is proposed. The bounded model uncertainties are considered in the dynamics of the robot, and then the robustness of the controller is verified. The Lyapunov theory is utilized in order to show the stability of the proposed controller. In this paper, the EGWO is developed by adding the emphasis coefficients to the typical grey wolf optimizer (GWO). The GWO and EGWO, then, are applied to optimize the proposed control parameters which result in the optimized GWO-HFOPDSMC and EGWO-HFOPDSMC, respectively. The effectivenesses of the optimized controllers (GWO-HFOPDSMC and EGWO-HFOPDSMC) are completely verified by comparing the simulation results of the optimized controllers with the typical FOSMC and HFOPDSMC.

In this paper a state feedback controller for tubular linear permanent magnet synchronous motor (TLPMSM) containing two gas springs, is presented. The proposed TLPMSM controller is used to control reciprocating motions of TLPMSM. The analytical plant model of TLPMSM is a multi-input multi-output (MIMO) system which is decoupled to some sub single-input single-output (SISO) systems, then, the sub SISO systems are converted to sub-state space models. Indeed, the TLPMSM state space model is decoupled to some sub-state spaces, and then, the gains of state feedback are calculated by linear quadratic regulation (LQR) method for each sub-state space separately. The controller decreases the distortions of the waveforms. The simulation results indicate the validity of the controller.

Background: Modeling and controlling of Doubly Fed Induction Generator (DFIG) are presented in this paper. The DFIG is considered in the positive synchronous reference framework under Distorted Grid Voltage Situations (DGVS). The DFIG electromagnetic torque, active and reactive powers of the instantaneous stator are discussed under the condition of harmonically DGVS. Methods: Four alternative control strategies are implemented on DFIG system to enhance the responses under DGVS. A novel rotor current controller based on adaptive neuro-fuzzy interface system (ANFIS) is developed. The main, fifth and seventh order harmonic components of rotor current are straightly adjusted by ANFIS controller without using any sequential component decomposition techniques at six times the grid frequency. The simulation results of implementing the presented control strategies on a two megawatt wind turbine driven DFIG system validate the feasibility and the robustness of the control scheme. Results: The results are compared with the compound controller consisting of a proportional integral (PI) regulator and a harmonic resonant (R) compensator. Conclusion: This comparison indicates the notable removal of torque and DFIG power oscillations either under DGVS.