Fuzzy Second-Order Sliding Mode Control Design for a Two-Cell DC-DC Converter

Medhaffar, Hanene; Derbel, Nabil

doi:10.1155/2020/1693971

Cited by 6 publications

(7 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to (6), the coefficients in NNFTSM are the exponential functions of the state x 1 . is can achieve the adaptivity to enhance the effect of the major term and weaken the effect of the secondary term in the different stages, which is helpful for speeding up the convergence rate of the system.…”

Section: Novel Nftsm Designmentioning

confidence: 99%

See 1 more Smart Citation

Novel Nonsingular Fast Terminal Sliding Mode Control for a Class of Second-Order Uncertain Nonlinear Systems

Pan

Zhang

2021

Mathematical Problems in Engineering

View full text Add to dashboard Cite

This paper presents a novel nonsingular fast terminal sliding mode control scheme for a class of second-order uncertain nonlinear systems. First, a novel nonsingular fast terminal sliding mode manifold (NNFTSM) with adaptive coefficients is put forward, and a novel double power reaching law (NDP) with dynamic exponential power terms is presented. Afterwards, a novel nonsingular fast terminal sliding mode (NNFTSMNDP) controller is designed by employing NNFTSM and NDP, which can improve the convergence rate and the robustness of the system. Due to the existence of external disturbances and parameter uncertainties, the system states under controller NNFTSMNDP cannot converge to the equilibrium but only to the neighborhood of the equilibrium in finite time. Considering the unsatisfying performance of controller NNFTSMNDP, an adaptive disturbance observer (ADO) is employed to estimate the lumped disturbance that is compensated in the controller in real-time. A novel composite controller is presented by combining the NNFTSMNDP method with the ADO technique. The finite-time stability of the closed-loop system under the proposed control method is proven by virtue of the Lyapunov stability theory. Both simulation results and theoretical analysis illustrate that the proposed method shows excellent control performance in the existence of disturbances and uncertainties.

show abstract

Section: Novel Nftsm Designmentioning

confidence: 99%

“…Sliding mode control (SMC) is a popular method to control nonlinear systems owing to its simplicity and strong robustness [1][2][3][4][5][6]. Among the SMC category, the research studies on terminal sliding mode control (TSMC) have received considerable attention.…”

Section: Introductionmentioning

confidence: 99%

Novel Nonsingular Fast Terminal Sliding Mode Control for a Class of Second-Order Uncertain Nonlinear Systems

Pan

Zhang

2021

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

“…Themajor advantage is the guaranteed stability and the robustness against model uncertainties and external disturbances [11], [12]. Many non-linear techniques have been presented, for example, feedback linearization [13], [14], backstepping methods [15], [16], proportional-integral-derivative-based sliding mode controller [17], nonlinear H-infinity fuzzy control [18], and sliding mode controllers [19]- [21], fuzzy logic sliding mode controllers [10], [12], [22], [23]. In off-grid photovoltaic application, as shown in [1] and for energy storage system, as in [9] sliding mode control is used for DC-DC converter.…”

Section: Introductionmentioning

confidence: 99%

Robust sliding mode controller for buck DC converter in off-grid applications

2022

View full text Add to dashboard Cite

This paper presents a robust sliding mode controller of DC-DC buck converter for renewable energy applications, such as photovoltaic systems in off-grid configurations. Photovoltaic systems in off-grid configuration are exposed to significant variations in input voltage and power loads. The proposed sliding mode controller presents a simple and efficient method of continuously updating the duty cycle of a pulse width modulation unit (PWM) of a buck converter. The PWM unit is operated at constant switching frequency of 10 kHz carrier signal and varying duty cycle. The differences in input voltage and power load are treated as two bounded uncertainties, thus eliminating the need for input voltage sensor and output current sensors leaving the system with a single sensor required to measure the converter output voltage. That is, measured output voltage is compared with the reference voltage to continuously update the average duty cycle value of PWM unit. Adjustment of PWM duty cycle is performed while maintaining the sliding condition always fulfilled. The simulation results of the proposed controller showed robustness and accuracy against power load fluctuation, changes in desired output voltage, and variations in the input supply voltage that may result from the varying level of irradiance and temperature.

show abstract

“…Though there is a respectable inverter dynamics in the transience stage, the performance of the steady-state is contorted remarkably [32]. A linguistic recognition-based SMC yields improved converter steady-state response in case of load uncertainties; however, there is a practical issue of trembling in the control signal [33]. The knowledge base form associated with the SMC provides good response behavior for the converter; nevertheless, it discloses the complex algorithm with long execution time [34].…”

Section: Introductionmentioning

confidence: 99%

Robust Optimal Tracking Control of a Full-Bridge DC-AC Converter

Chang

Cheng

2021

Applied Sciences

View full text Add to dashboard Cite

This paper develops a full-bridge DC-AC converter, which uses a robust optimal tracking control strategy to procure a high-quality sine output waveshape even in the presence of unpredictable intermissions. The proposed strategy brings out the advantages of non-singular fast convergent terminal attractor (NFCTA) and chaos particle swarm optimization (CPSO). Compared with a typical TA, the NFCTA affords fast convergence within a limited time to the steady-state situation, and keeps away from the possibility of singularity through its sliding surface design. It is worth noting that once the NFCTA-controlled DC-AC converter encounters drastic changes in internal parameters or the influence of external non-linear loads, the trembling with low-control precision will occur and the aggravation of transient and steady-state performance yields. Although the traditional PSO algorithm has the characteristics of simple implementation and fast convergence, the search process lacks diversity and converges prematurely. So, it is impossible to deviate from the local extreme value, resulting in poor solution quality or search stagnation. Thereby, an improved version of traditional PSO called CPSO is used to discover global optimal NFCTA parameters, which can preclude precocious convergence to local solutions, mitigating the tremor as well as enhancing DC-AC converter performance. By using the proposed stable closed-loop full-bridge DC-AC converter with a hybrid strategy integrating NFCTA and CPSO, low total harmonic distortion (THD) output-voltage and fast dynamic load response are generated under nonlinear rectifier-type load situations and during sudden load changes, respectively. Simulation results are done by the Matlab/Simulink environment, and experimental results of a digital signal processor (DSP) controlled full-bridge DC-AC converter prototype confirm the usefulness of the proposed strategy.

show abstract

Fuzzy Second-Order Sliding Mode Control Design for a Two-Cell DC-DC Converter

Cited by 6 publications

References 28 publications

Novel Nonsingular Fast Terminal Sliding Mode Control for a Class of Second-Order Uncertain Nonlinear Systems

Novel Nonsingular Fast Terminal Sliding Mode Control for a Class of Second-Order Uncertain Nonlinear Systems

Robust sliding mode controller for buck DC converter in off-grid applications

Robust Optimal Tracking Control of a Full-Bridge DC-AC Converter

Contact Info

Product

Resources

About