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Proceedings ArticleDOI

New technique for voltage tracking control of a boost converter based on the PSO algorithm and LTspice

TL;DR: A new technique is proposed to design a Modified PID (MPID) controller for a Boost converter using an interface between LTspice and MATLAB to implement the Particle Swarm Optimization (PSO) algorithm.
Abstract: In this paper, a new technique is proposed to design a Modified PID (MPID) controller for a Boost converter. An interface between LTspice and MATLAB is carried out to implement the Particle Swarm Optimization (PSO) algorithm. The PSO algorithm which has the appropriate capability to find out the optimal solutions is run in MATLAB while it is interfaced with LTspice for simulation of the circuit using actual component models obtained from manufacturers. The PSO is utilized to solve the optimization problem in order to find the optimal parameters of MPID and PID controllers. The performances of the controllers are evaluated for a wide range of operating conditions and different disturbances. The comprehensive simulation results demonstrate the effectiveness and robustness of the proposed method which are also explained through some performance indices.
Citations
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Journal ArticleDOI
TL;DR: Vibration-based PEHS has been considered for the application of the optimization technique to enhance its performance by utilizing vibration-based piezoelectric elements.
Abstract: The energy harvesting (EH) from unused natural waste energy sources is common nowadays because of rising power demand. The sources have the potential of producing micro to milliwatts power depending on the ambient conditions. Many researchers have been concentrating on micro-level energy harvesting to provide power to the micro-devices in a remote area. The concept leads to a drastic reduction in cost. Once the structure is established, it can generate electricity with minimal cost or effort like renewable sources. This paper reviews the two key areas of the piezoelectric energy harvesting system (PEHS), namely, mechanical and electronic approaches, developed by several researchers. From the thorough review, it is realized that the existing technologies more or less can capable to EH by using the piezoelectric elements; however, the consistency and stability of the systems are not up to the mark yet. In this study, vibration-based PEHS has been considered for the application of the optimization technique to enhance its performance. This review has been focused on numerous challenges and recommendations for next-generation EH by utilizing vibration-based piezoelectric elements.

107 citations

Journal ArticleDOI
TL;DR: A new lightning search algorithm (LSA) is presented to enhance the piezoelectric energy harvesting system converter (PEHSC) using the dSPACE DS1104 controller board as the proportional-integral voltage controller (PIVC), which eliminates the time-consuming conventional trial-and-error process.
Abstract: This paper presents a new lightning search algorithm (LSA) to enhance the piezoelectric energy harvesting system converter (PEHSC) using the dSPACE DS1104 controller board as the proportional-integral voltage controller (PIVC). To extract the energy from the vibration is challenging and difficult due to the uncertain behavior of vibration. Since the piezoelectric vibration transducer generates low AC voltage output with fluctuations and harmonics, it is difficult to control this low-level signal of various magnitudes. Therefore, the behavior of the converter is governed by its controller. The traditional PIVC process for improved parameter values of proportional gain (Kp) and integral gain (Ki) is commonly implemented via trial and error, which does not lead to an acceptable response in several conditions. Hence, this paper offers a method for finding the optimal Kp and Ki values for PIVC that eliminates the time-consuming conventional trial-and-error process. This method is applied to PEHSC development by producing values of Kp and Ki performed in the PIVC depending on the estimated outcomes of the objective function defined via LSA. The mean absolute error (MAE) is used as the objective function for reducing the output error of the PEHSC. The LSA optimizes the Kp and Ki values that give the minimum MAE, and the effect on the PEHSC is in terms of the rising and settling times. The development process and efficiency of the PIVC are demonstrated and examined via simulations using the MATLAB tools. The LSA-based PIVC (LSA-PI) is compared with the particle swarm optimization (PSO)-based PIVC (PSO-PI) and the backtracking search algorithm (BSA)-based PIVC (BSA-PI). The performance of the LSA-PI-based PIVC is then validated through hardware implementation using the dSPACE DS1104 control board. The simulation results are compared with the hardware results of PEHSC to validate the overall efficiency of the system. Finally, the results are regulated at an output of 7 V DC from an input range of 150 mV~250 mV AC at 30 Hz through a closed-loop using the LSA-PIVC.

11 citations


Cites methods from "New technique for voltage tracking ..."

  • ...Other optimization methods, namely, the genetic algorithmGA-PI optimization [21], PSOPID optimization [22], and BSA-PI optimization, have been used to improve the behavior of the PI voltage controller (VC) and to find the parameters of the PI controller [23]....

    [...]

Proceedings ArticleDOI
01 Dec 2019
TL;DR: An automated design to provide robust PIDs with fixed control gains, suitable to be applied in power converters whose parameters belong to real intervals is provided, becoming a simple alternative for benchmarks for robust control of power Converters.
Abstract: This paper provides an automated design to provide robust PIDs with fixed control gains, suitable to be applied in power converters whose parameters belong to real intervals. Differently from conventional PIDs which use only a nominal model to obtain the fixed control gains and, a posteriori, verify robustness, the proposed approach ensures, a priori (i.e. during the design stage), robust performance for a set of plant parameters. To illustratethe proposed procedure, two conventional PID controllers are given, to achieve phase margin and crossover frequency for a nominal model of a buck converter. An objective function based on frequency domain specifications is proposed. A particle swarm optimization algorithm is then used to find PIDs, in a large search space that include stable and unstable controllers, allowing to optimize this function for all cases of combinations of plant parameters. A case study for the buck converter illustrates the improvements of performance with the proposed method when compared to the conventional PID controllers. Additionally, the design is used in a more challenging application, for a buck-boost converter suitable for small satellites application, becoming a simple alternative for benchmarks for robust control of power converters.

8 citations

Proceedings ArticleDOI
05 Nov 2018
TL;DR: In this article, a K-type sensor is used to obtain high quality factor optical resonator, which reduces stresses at the periphery of their surface as mechanical treatments enable state-of-the-art characteristics for the surface roughness.
Abstract: To obtain high quality factor optical resonator, we must reduces stresses at the periphery of their surface as mechanical treatments enable state-of-the art characteristics for the surface roughness. This process is driven by electronics significantly improved thanks to electronic boards based on the use of intensity pulses, coupled with feedback on several parameters for fitting the specific profile of the heating cycle. Sensor is based on K-type technology to reach specification up to 1000°C. Technology is based on the use of microcontroller, low noise operational amplifiers, field effect transistors and diode bridges and driven by a intensity signal.

4 citations

Proceedings ArticleDOI
20 Mar 2016
TL;DR: This new approach combines the advantages of LTspice for simulation of different circuit configurations using actual component obtained from manufactures' models with advanced intelligent techniques capabilities from COA in MATLAB.
Abstract: In this paper not only a modified multi-device LinVerter is proposed but also a novel approach to control this topology is introduced. This topology is able to improve the conventional LinVerter performance using parallel power devices and designing a sequential switching scheme. In addition, from control perspective, a novel control approach based on bidirectional interface between LTspice and MATLAB is created. In this case, the circuit is modeled in LTspice environment and a Chaos Optimization Algorithm (COA) is coded in MATLAB in order to find out the optimal solution in control process. In fact, this new approach combines the advantages of LTspice for simulation of different circuit configurations using actual component obtained from manufactures' models with advanced intelligent techniques capabilities from COA in MATLAB. First, the performance of proposed multi-device LinVerter along with new control technique is evaluated in different conditions, and then effectiveness and robustness of the whole suggested designs are presented.

1 citations


Cites methods from "New technique for voltage tracking ..."

  • ...Based on this new technique, the bidirectional interfaces performed in a closed loop so that the optimization process will be continued automatically and without the need to open the LTspice file manually [14]....

    [...]

References
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Proceedings ArticleDOI
06 Aug 2002
TL;DR: A concept for the optimization of nonlinear functions using particle swarm methodology is introduced, and the evolution of several paradigms is outlined, and an implementation of one of the paradigm is discussed.
Abstract: A concept for the optimization of nonlinear functions using particle swarm methodology is introduced. The evolution of several paradigms is outlined, and an implementation of one of the paradigms is discussed. Benchmark testing of the paradigm is described, and applications, including nonlinear function optimization and neural network training, are proposed. The relationships between particle swarm optimization and both artificial life and genetic algorithms are described.

35,104 citations

Journal ArticleDOI
TL;DR: It is seen that many PID variants have been developed in order to improve transient performance, but standardising and modularising PID control are desired, although challenging, and the inclusion of system identification and "intelligent" techniques in software based PID systems helps automate the entire design and tuning process to a useful degree.
Abstract: Designing and tuning a proportional-integral-derivative (PID) controller appears to be conceptually intuitive, but can be hard in practice, if multiple (and often conflicting) objectives such as short transient and high stability are to be achieved. Usually, initial designs obtained by all means need to be adjusted repeatedly through computer simulations until the closed-loop system performs or compromises as desired. This stimulates the development of "intelligent" tools that can assist engineers to achieve the best overall PID control for the entire operating envelope. This development has further led to the incorporation of some advanced tuning algorithms into PID hardware modules. Corresponding to these developments, this paper presents a modern overview of functionalities and tuning methods in patents, software packages and commercial hardware modules. It is seen that many PID variants have been developed in order to improve transient performance, but standardising and modularising PID control are desired, although challenging. The inclusion of system identification and "intelligent" techniques in software based PID systems helps automate the entire design and tuning process to a useful degree. This should also assist future development of "plug-and-play" PID controllers that are widely applicable and can be set up easily and operate optimally for enhanced productivity, improved quality and reduced maintenance requirements.

2,461 citations

Book
11 Oct 2006
TL;DR: Basics of PID Control, Derivative Filter Design, Anti-windup Strategies, Setpoint Weighting, Use of a Feedforward Action, Plug&Control, Identification and Model Reduction Techniques, Performance Assessment, Control Structures as discussed by the authors.
Abstract: Basics of PID Control.- Derivative Filter Design.- Anti-windup Strategies.- Set-point Weighting.- Use of a Feedforward Action.- Plug&Control.- Identification and Model Reduction Techniques.- Performance Assessment.- Control Structures.

566 citations

Journal ArticleDOI
TL;DR: The effectiveness of the proposed TSMC scheme is verified by numerical simulations and realistic experimentations, and the advantages of good transient response and robustness to uncertainties are indicated in comparison with a conventional proportional-integral control system and a CSMC scheme.
Abstract: In this paper, a total sliding-mode control (TSMC) scheme is designed for the voltage tracking control of a conventional dc-dc boost converter. This control strategy is derived in the sense of Lyapunov stability theorem such that the stable tracking performance can be ensured under the occurrence of system uncertainties. The salient feature of this control scheme is that the controlled system has a total sliding motion without a reaching phase as in conventional sliding-mode control (CSMC). Moreover, the effectiveness of the proposed TSMC scheme is verified by numerical simulations and realistic experimentations, and the advantages of good transient response and robustness to uncertainties are indicated in comparison with a conventional proportional-integral control system and a CSMC scheme.

218 citations

Proceedings ArticleDOI
21 Oct 2010
TL;DR: In this article, the authors proposed the theory and application of a new designing method of the Fractional Order PID (FOPID) controller for boost converters, where the derivation and integration orders are of fractional order rather than integer.
Abstract: This paper proposes the theory and application of a new designing method of the Fractional Order PID (FOPID) controller for boost converters. FOPID is a PID where the derivation and integration orders are of fractional order rather than integer. A FOPID is an extension to classic integer order PID controllers, that potentially promises better results. The method is based on the use of a Multi-Objective optimization evolutionary algorithm called Strength Pareto Evolutionary Algorithm (SPEA). Other controller methods cannot guarantee a good start-up response but the proposed method can provide an excellent start-up response besides desired dynamic response. The optimum fractional order PID coefficients for the desired control objectives are included and designers can implement each of them based on objective functions priority. A comparison between the optimum integer order PID controller and optimum fractional order PID controller is presented in the paper. The simulation and some experimental results prove the superiority of the fractional controllers over the integer controllers.

45 citations