Intelligent control of induction motor for photovoltaic water pumping system

Abstract

This work aims to improve the performance of direct torque control (DTC) technique for induction motor based photovoltaic (PV) water pumping system (PVWPS). The innovative aspect of this work consists in introducing the adaptive fuzzy logic control and the fuzzy logic control techniques as alternative approaches to conventional DTC to control the PVWPS. To ensure a good operation of the PV array, a variable step size incremental conductance (VSS INC) is implemented. Simulation studies of the proposed topology based on intelligent approaches will be investigated using Matlab/Simulink under various operating conditions to validate the suitability of the proposed PVWPS. From the obtained results, the proposed control strategies appear to be very convenient for water pumping applications. Article Highlights• An intelligent control based on the advanced techniques is proposed for PV water pumping system. • An adaptive fuzzy logic PID approach and optimal fuzzy rules are proposed for better operation of PV system.• The suggested PV water pumping system achieves better performance, in particular minimization of torque and flux ripples, reduction of torque overshoot and high dynamic response.

Adaptive Control Strategy for a Pumping System Using a Variable Frequency Drive

“…The induction motor stator and rotor voltage are obtained in a synchronously rotating reference frame using the electromagnetic Equations ( 6) and ( 7) [16]:…”

“…To the q-axis PI current regulator is added in cascade, a speed controller, that becomes the main loop. The speed controller provides the reference for the inner loop q-axis current (i qs * ) containing the current regulation (q-axis) from the electromechanical torque according to Equation ( 12) from [16], resulting in Equation (29):…”

Synchronization and Optimal Operation of a 140 kVA Inverter in On-Grid Mode Using Mamdani Controllers in Cascade

“…Tis optimization defnes a cost function that values the behavior of the fuzzy dynamic system, considering the control deviation and its variation. Equation (22) shows the cost function, whose minimization guarantees the achievement of the setpoint under the condition of minimum stress of the system or actuators.…”

“…Cross and Ma compared diferent techniques for model-based condition monitoring systems applied in wind turbines, such as linear model, artifcial neural networks, state-dependent "pseudo" transfer function, and Mamdani fuzzy-based approach, where this last technique demonstrated to be practically feasible to be implemented [21]. Errouha et al introduce the Mamdani fuzzy logic techniques as an alternative approach to conventional direct torque control (DTC) to control induction motors for water pumping systems, where the results showed that the fuzzy control could improve the performance by minimizing the fux and torque ripples, reducing overshoot and undershoot, and enhancing the response time [22].…”

Fuzzy logic direct torque control of induction motor for photovoltaic water pumping system

“…However, there are important drawbacks: the torque and stator flux ripples have a large amplitude, specially at low speeds and the switching frequency is very variable [10]. Errouha et al [11] designed fuzzy logic blocks have taken the place of lookup tables and hysteresis controllers when employing adaptive fuzzy logic control for speed regulation to avoid these drawbacks. As a result, the flux and torque ripples are reduced to a minimum.…”