Maximum power point tracking of single‐ended primary‐inductor converter employing a novel optimisation technique for proportional‐integral‐derivative controller

Abstract

This study presents an optimisation technique for proportional-integral-derivative (PID) controller to achieve maximum-power-point tracking (MPPT) of single-ended primary-inductor converter (SEPIC). A new weight function is developed to optimise the PID parameters based on gradient-descent (GD) method by adding low-pass filter term. The proposed optimisation method does not stick in the local minima, which happens frequently with the traditional weight function used in GD method, where the low-pass filter term suppresses the noise and smooths the iteration process. The prototype of the proposed optimised PID-based SEPIC converter for photovoltaic inverter applications is built using DSPbased TMS320F28335. The performance of the proposed optimised PID-based MPPT scheme is tested in both simulation and experiment at different operating conditions. A performance comparison of the proposed GD method with the conventional GD PID is also made in real-time. It is found that the proposed optimised PID-based SEPIC converter is superior to the conventional GD PID controller in terms of power transfer and efficiency. Furthermore, the proposed optimised PID controller for two-level inverter can achieve a better total harmonic distortion (THD) level as compared to the multi-level inverter frequently used by researchers for the same purpose.

Design and implementation of type‐II and type‐III controller for DC–DC switched‐mode boost converter by usingK‐factor approach and optimisation techniques

“…6), it is clear that for the given converter GSA based optimised type-III controller exhibits best performance and 'k-factor' based classical type-II controller produces relatively worst result while comparing the closed loop performances with different control algorithms. Since optimised PID controller is reported [18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35] for controlling the DC-DC converters, in the implementation part, GSA based PID controller is also used with aforesaid two controllers ('k-factor' based classical type-II controller and GSA based optimised type-III controller) for the closed-loop control of the proposed boost converter. Fig.…”

“…The DC-DC SMPS are essential to deliver regulated output voltage with fast dynamical response, low overshoot, minimal steady-state output error, and low sensitivity to the noise. Some recent literatures have been reported on PSO, GSA and other algorithms based optimised PI, PID controllers [18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35] for improving the performance of the converters and other systems. However, optimised type-II/III controllers have not been reported for DC-DC converters in any literature.…”

Impact of fill factor on input current ripple of photovoltaic system

“…If current ripple exist, maximum dc power cannot be achieved by achieving maximum power using any tracking algorithm [5], [6]. For zero-ripple, the maximum power can be achieved since the PV cell maximum power point can be tracked.…”

A robust maximum power point tracking control for PV panel using adaptive PI controller based on fuzzy logic

“…perturb and observe (PO) [4,5], modified PO [6], IC [4,5,7,8], incremental resistance (IR) [9], cuckoo search algorithm (CSA) [10], ICM with fuzzy logic [11], FLC [12][13][14][15][16][17][18][19][20], adaptive FLC based on two layers FLC [21], FLC using auto scaling variable step-size [22], and constant PID control [15,16]. Genetic algorithm (GA) is used to optimize constant proportional-integral (PI) control [23], Ant colony algorithm (ACO) is utilized for optimizing constant PI control [24], gradient descend method is adopted for PID control optimization [25], FLC is used for adaptive PID control [26,27], adaptive scaling factor is used for fuzzy gain scheduling (FGS) PID control [28], and Big Bang-Big Crunch (BB-BC) algorithm is used to tune a fuzzy PID controller [29]. In an indirect MPPT control an external controller sends a reference command signal to an internal controller.…”