No abstract

Solar energy harvesting using Photovoltaic (PV) systems is one of the most popular sources of renewable energy, however the main drawback of PV systems is their low conversion efficiency. An optimal system operation requires an efficient tracking of the Maximum Power Point (MPP), which represents the maximum energy that can be extracted from the PV panel. This paper presents a novel control approach for the Maximum Power Point Tracking (MPPT) based on the differential flatness property of the Boost converter, which is one of the most used converters in PV systems. The underlying idea of the proposed control approach is to use the classical flatness-based trajectory tracking control where a reference voltage will be defined in terms of the maximum power provided by the PV panel. The effectiveness of the proposed controller is assessed through numerical simulations and experimental tests. The results show that the controller based on differential flatness is capable of converging in less than 0.15 s and, compared with other MPPT techniques, such as Incremental Conductance and Perturb and Observe, it improves the response against sudden changes in load or weather conditions, reducing the ringing in the output of the system. Based on the results, it can be inferred that the new flatness-based controller represents an alternative to improve the MPPT in PV systems, especially when they are subject to sudden load or weather changes.

No abstract

The purpose of this work lies in the design and implementation of a closed-circuit temperature control system (SCTLC), to control the temperature transfer in the mold of the thermoprepared system, where the blocks are manufactured from multilayer containers. post-consumer. The plant (electrical resistance) was characterized, with the AC voltage levels (30V, 60V, 90V and 120V) in a time of 60 min each of the voltage levels, considering the initial temperature (ambient temperature), in function of the step signal, then, the plant model was determined using Matlab software and the analytical method with the data of the plant characteristic curve at a voltage of 120Vac, obtaining the first-order transfer function, then The PID controller implemented the Ziegler & Nichols method and the Matlab software were tuned and finally the reference input, the control, the power stage, the plant and the feedback were coupled. This project contributes to control and stabilize the resistance temperature, implemented in the thermoforming process, for the production of blocks using multilayer containers.