scholarly journals Simulation and Implementation PID Controlling Buck Converter DC

2021 ◽  
Vol 3 (2) ◽  
pp. 72-81
Author(s):  
I Wayan Raka Ardana ◽  
Lalu Febrian Wiranata ◽  
Ida Bagus Irawan Purnama

Regulating the output voltage based on the desired set point is useful for many applications. However, getting the optimal value using fast computation with minimal error is still challenging. This paper aims to design, simulate, and implement a second-order Buck-Boost DC-DC converter circuit so that the voltage result according to the desired set point can be achieved. Initially, testing is conducted using Matlab Simulink. Then, Proteus is used to test the computation of the program on embedded systems in which the result is implemented in C. In low voltage power electronics applications, this approach has never been used to determine the output form. To determine the value of Kp, Ki, dan Kd, PID, Ziger Nichos (Guo, 2002). method is used. Meanwhile, tuning is done through Matlab. For simulation on Proteus, the output is tested by setting the setpoint values of 3.0, 2.5, and 1.7 volts. This aims to see the pattern of changes in the simulation. The simulation results with Proteus show that they have similar peak values but with different overshoot values. This is because the simulation must pass the reference voltage before it drops to the desired setpoint value. Proteus simulation can also help to prove embedded system programs are running correctly. On the other hand, the value of 1.7 volts is used as a setpoint in device implementation. This is due to the determination that the setpoint voltage in the implementation does not exceed the value of the source/power supply. The results show that for the rise time value of 378,770 ms, Overshoot and settling time are 11.798% and 0, respectively. This means the result produces an optimal value which is a return to the initial target. The optimal factor is assessed from the ability to minimize existing errors as well as having the shortest possible computational process.

Author(s):  
N.H. Abdul Rahman ◽  
A. M. Omar ◽  
E. H. Mat Saat ◽  
N. I. Ilham ◽  
M. Z. Hussin ◽  
...  

<span>This paper presents the design of a Three Stages Maximum Power Point Tracking (MPPT) charge controller for improving the charging/discharging control of the battery. In this research, Buck Converter is used to regulate the voltage from the Photovoltaic (PV) module to the required voltage. This research is limited to Valve Regulated Lead Acid (VRLA) battery for 12V system voltage. The charge control algorithm envisages controlling the charging and discharging action in all the three stages of battery charging, bulk, absorption, and float. The idea is to control the battery charging and discharging status until meeting the battery set-point. The set-point is limited to High Voltage Disconnect (HVD), Low Voltage Disconnect (LVD) and Load Voltage Reconnect (LVR) to protect the battery from over-charging and deep-discharging. The results obtained demonstrate the good performance of the charge controller. With the application of the MPPT algorithm in the bulk stage, the time taken to get the battery to fully charged state becomes faster The regulation power from the converter to the inverter has performed well and the switching relay is managed to be controlled.</span>


Author(s):  
Phan Quoc Dung ◽  
Phan Thi Thanh Binh ◽  
Pham Dinh Minh ◽  
Tran Minh Hung ◽  
Nguyen Duc Hung

Nowadays, the penetration of wind and solar sources is relatively high in Micro Grid. Wind speed and solar radiation forecasting hardly gives an exact value and leads to the values in intervals. Therefore forecasted output powers of these sources are also in the intervals. The constraint on power balance in Micro Grid has the right-hand-side uncertainty, in the interval. So for Micro-Grid in grid connection mode, the presence of the distributed generations based on wind and solar energy sources makes optimal dispatching problems of distributed generations become an uncertainty problem. The optimal solutions for the lower and upper ends of this interval are the best and the worst optimal solution. This paper proposes to treat the above problem as the optimal problem with two objectives: reach the best and the worst solution. The principle of fuzzy set and the Particle Swarm Optimization algorithm will be applied for solving the multi-objective problem. The final optimal value will belong to an interval. Meanwhile, the output power of the swing generator varies to respond to the uncertainty of wind and solar source power. An example of a low-voltage MG with three distributed generators is considered with two cases: connecting to the utility grid via the circuit breaker and via power controller.


Proceedings ◽  
2018 ◽  
Vol 2 (13) ◽  
pp. 1050
Author(s):  
Ferran Reverter ◽  
Manel Gasulla

Autonomous sensors that harvest energy from the environment usually employ a dc/dc converter to regulate the operating voltage of the energy transducer around its maximum power point (MPP). In this context, this work evaluates the efficiency of a buck converter when regulating the operating point of two low-power photovoltaic (PV) modules subjected to different irradiance levels. The buck converter operates in burst mode (BM) and is able to transfer the energy from the PV module to a storage unit through an optimal value of the inductor current. Experimental results show that an irradiance increase can cause either an increase or a decrease of the converter efficiency. This is because the higher the irradiance, the higher both the MPP voltage and current of the PV module, which involve opposite effects in terms of the converter efficiency.


2018 ◽  
Vol 43 ◽  
pp. 01009
Author(s):  
Sutedjo ◽  
Ony Asrarul Qudsi ◽  
Andi Ardianto ◽  
Diah Septi Yanaratri ◽  
Suhariningsih ◽  
...  

This paper presents the details of design and implementation of DC-DC Buck converter as solar charger. This converter is designed for charging a battery with a capacity of 100 Ah (Ampere Hours) which has a charging voltage of 27.4 volts. The constant voltage method is selected on battery charging with the specified set point. To ensure the charging voltage is always on the set point, the duty cycle control of buck converter is set using Fuzzy Logic Control (FLC). The design implementation has been tested on PV (photovoltaic) with 540WP capacity. Based on the test results, this method is quite well implemented on the problem charger


Energies ◽  
2021 ◽  
Vol 14 (18) ◽  
pp. 5760
Author(s):  
Eduardo Campos-Mercado ◽  
Edwin Fernando Mendoza-Santos ◽  
Jorge Antonio Torres-Muñoz ◽  
Edwin Román-Hernández ◽  
Víctor Iván Moreno-Oliva ◽  
...  

In this paper, we present a nonlinear PID controller based on saturation functions with variable parameters in order to regulate the output voltage of a buck converter in the presence of changes in the input voltage. The main feature of the proposed controller is to bound the control input with a variable parameter to avoid the windup effect generated by the combination of the integral control action and some operation conditions. The main advantages of the proposed nonlinear PID controller are its low computing cost and the simple tuning task to implement the control strategy in an embedded system. The acceptable behavior of the closed-loop system is presented through the simulation and experimental results.


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