| Switching power supply is a widely used technology in the field of power electronics,and DC-DC boost converter is one of them.This technology has been applied in various fields.However,the fluctuation and intermittency of new energy supply may have adverse effects on the stability of the entire industrial system.In addition,load changes may also cause imbalance of DC system power,so controlling the supply voltage of the power source becomes crucial.As a key means to maintain the stability of the power supply,DC-DC boost converter can provide the required electrical isolation between the input voltage and the output voltage of the converter,and adjust the voltage through the controller to achieve the desired stable output voltage.This adjustment can not only improve the stability of the industrial system,but also optimize the efficiency and quality of the power system,while also improving the energy conversion efficiency and saving energy.Therefore,DC-DC boost converter plays an important role in modern industrial systems.However,designing a high-performance DC-DC boost converter system that can maintain output voltage well in the presence of unknown disturbances is a challenging task.Early researchers mainly used linear control methods based on linearized models to study the stabilization problem of boost converters.However,due to the strong nonlinearity of the system model,parameter changes,and external interference,the control performance of these methods may not be satisfactory.In order to obtain better performance,more and more control experts are beginning to study nonlinear control strategies to achieve faster response speed,smaller steady-state error,and better antiinterference performance.This paper focuses on the DC-DC boost converter affected by circuit and load uncertainties,and adopts advanced control algorithms to achieve strong anti-interference and fast tracking capabilities.The main work includes the following aspects:Firstly,the equivalent dynamic model of the boost converter is derived through equivalent transformation.However,this model cannot accurately reflect the actual state,so a more accurate mathematical model is established based on the average model,taking into account the interference of the boost converter.Secondly,the overall platform arrangement based on the boost converter system is given,and an experimental platform based on DSPACE is built,including the design of hardware circuits and analysis of each circuit module.At the same time,the DSPACE controller is introduced,and the PID control algorithm is implemented using the controller.Then,in order to verify the mathematical model established in this paper,integral sliding mode and second-order sliding mode controllers are proposed,and the application of control algorithms in stability aspect is verified based on the boost converter system model.The feasibility of the algorithm is verified through simulation and experimentation.Finally,in order to solve the shortcomings of the traditional second-order sliding mode controller,an advanced second-order sliding mode control strategy is proposed and applied to the boost converter system.Through simulation and experimentation,it is shown that the proposed control algorithm significantly improves the shortcomings of the traditional second-order sliding mode and has strong robustness. |
