Abstract

AbstractThe design of a cascade controller is demonstrated for a buck–boost converter that is combined with two control loops consisting of inner and outer controllers. The outer loop is implemented by a fractional‐order proportional‐integrated‐derivative (FO‐PID) controller that works as a voltage controller and generates a reference current for the inner control loop. To provide faster dynamic performance for inner loop, a self‐tuning regulator adaptive controller, which tries to regulates the current with the help of a novel improved exponential regressive least square identification in an online technique, is designed. Moreover, in the outer loop, to tune the gains of the FO‐PID controller, a novel algorithm of antlion optimizer algorithm is used that offers many benefits in comparison with other algorithms. The system provided by the boost mode is a non‐minimum phase system, which creates challenges for designing a stable controller. In addition, a single loop controller is proposed based on a PID controller tuned by a particle swarm optimization algorithm to be compared with the cascade controller. Cascade loop can present significant benefits to the controller such as better disturbance rejection. Finally, the strength of the presented cascade control scheme is verified in different performing situations by real‐time experiments.

Highlights

  • The development of DC–DC power converters provided numerous methods to produce electrical power for various applications

  • The novelty of this paper is focused on designing an adaptive cascade controller with an outer-voltage controller of the FO-antlion optimizer (ALO)-PID technique and an inner-current controller of the self-tuning regulator adaptive (STRA) strategy along with a novel improved exponential regressive least square (IERLS) identification

  • A detailed comparison is demonstrated based on Figure 15 in Table 6, which reaffirms a considerable robustness of the adaptive cascade controller in compensating these sudden changes; the single loop control method has an approximate tracking with large ripples that is not suitable in industrial applications

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Summary

INTRODUCTION

The development of DC–DC power converters provided numerous methods to produce electrical power for various applications. This technique tries to compensate for the negative impact of noise and disturbance in the identification block before applying it to the control block which depicts considerable results but is highly dependent on the estimator which can result in lower efficiency These papers use a single loop voltage controller to track the reference signal with a good robustness. The novelty of this paper is focused on designing an adaptive cascade controller with an outer-voltage controller of the FO-ALO-PID technique and an inner-current controller of the self-tuning regulator adaptive (STRA) strategy along with a novel improved exponential regressive least square (IERLS) identification. Contributions provided by this method are listed below:. - Results in both experimental and simulation environments confirm the efficiency of the proposed adaptive cascade controller

BUCK–BOOST CONVERTER
Basics of FO calculus
Optimizer algorithm of antlion
Mathematical model of ALO algorithm
Particle swarm optimization algorithm
RLS identification process
Identification results of buck–boost system
Improved ERLS identification algorithm
10–40 V 5–50 V 100–180 W 10Ω 10μH 1000μF
INDIRECT SELF-TUNING REGULATOR
CONTROL LOOPS STABILITY
SIMULATION RESULTS
EXPERIMENTAL RESULT
CONCLUSIONS
29. Kularatna
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