Disturbance Rejection Control Method of Double-Switch Buck-Boost Converter Using Combined Control Strategy

Abstract

Since it has strong ability to realize a conversion to adapt to a wide variation of input voltage, the double-switch buck-boost (DSBB) converter is usually employed as a front-end converter in two-stage power converter systems, where conversion efficiency is always highly valued. Because there is only one switch in the Pulse Width Modulation (PWM) state in the buck or boost work mode, the combined control scheme was investigated for its advantages in inductor average current and conversion efficiency. However, in this method, the operation mode should be determined by additional logic according to the change of input voltage. Moreover, different control systems should be designed for different operation modes to guarantee dynamic control performance and smooth transition between different work modes. To address these issues, the linear active disturbance rejection control (LADRC) method is introduced to develop an inner current control loop in this paper. In this method, the model deviations in different work modes are considered as a generalized disturbance, and a unified current control plant can be derived for current controller design. Furthermore, the duty cycle limitations in practice are considered, an additional mode for transitional operation is produced, and the corresponding control scheme is also developed. Simulation and experimental test results are provided to validate the correctness and effectiveness of the proposed control scheme.

Research on Linear Active Disturbance Rejection Control in DC/DC Boost Converter

“…Figure 6 shows the control structure for one converter with the implementation of the LADRC method. According to Equations (22), (23), (31) and (32), the transfer function of the first-order LADRC can be obtained as…”

“…In [30], ADRC is applied to the gyro control of micro-electro-mechanical systems, which not only drives the drive shaft to vibrate along a predetermined trajectory, but also compensates for manufacturing defects in a robust manner, making the performance of the gyro insensitive to parameter variations and noise. In [31], LADRC is proposed to be applied to a double-switch buck-boost converter. To ensure dynamic control performance and smooth switching in different operating modes, the model deviation in different working modes is regarded as a generalized disturbance, and a unified current control device can be derived for current controller design.…”

“…The LADRC voltage outer loop is composed of H1(s) and Gc1(s), and the LADRC current inner loop is composed of H2(s) and Gc2(s). Gp1(s) is the transfer function of the controlled quantity to the output voltage, and Gp2(s) is the transfer function of the controlled quantity to the inductor current.According to Equations (22), (23),(31) and (32), the transfer function of the first-order LADRC can be obtained as…”

Presented a transformer‐less buck‐boost DC–DC structure with vast voltage range

“…The conventional non‐insulated buck‐boost topologies contain buck‐boost, CUK, SEPIC, and ZETA converters [10]. Theoretically, these structures can generate a voltage with a high conversion ratio, but in practice, their output voltage range is bounded because of the parasitic elements, and the efficiency is intensively decreased as the duty‐cycle of the MOSFET is closed to one [11]. To solve these problems and achieve higher voltage gain in lower operating cycles, various converters were represented in [12].…”

Combination of Data-Driven Active Disturbance Rejection and Takagi-Sugeno Fuzzy Control with Experimental Validation on Tower Crane Systems

“…Data-driven ADRC algorithms were successfully applied to numerous types of processes, such as double-switch buck-boost converters [19], microgrid [20], pendulum-cart systems [21], fractional-order systems [22], interior permanent magnet synchronous motor drives [23], Direct Current (DC) torque motors [24], linear induction motors [25], Oxygen masks [26], hydraulic servo systems [27] and benchmark systems [28].…”