The Voltage Regulation of Boost Converters Using Dual Heuristic Programming. In this paper, a dual heuristic programming controller is proposed to control a boost converter. Conventional controllers such as proportional integral derivative (PID) or proportional integral (PI) are designed based on the linearized smallsignal model near the operating point. Therefore, the performance of the controller during start up, load change, or input voltage variation is not optimal since the system model changes by varying the operating point. The dual heuristic programming controller optimally controls the boost converter by following the approximate dynamic programming. The advantage of the DHP is that the neural network based characteristic of the proposed controller enables boost converters to easily cope with large disturbances. A DHP with a well trained critic and action networks can perform as an optimal controller for the boost converter. To compare the effectiveness of the traditional PI based and the DHP boost converter, the simulation results are provided.

AnalogMixedSignal Simulation of DCDC BoostBased MPPT System Taking into Account Weather Conditions Variations DCDC converters are widely used as interfaces between photovoltaic (PV) sources and loads in different applications. These devices use inductors as energy storage elements for controlling the power flow from the PV source to the load. These systems are usually designed using conventional linear smallsignal approaches in the vicinity of an operating point. However, the operating point of a PV system is highly dependent on the environmental conditions such as the irradiance and the temperature. Irradiance and temperature changes make the system work at different power and current levels. The inductance of a nonlinear real inductor strongly depends on the operating current. In this paper, a study of a boost converter used for maximum power point tracking is presented by taking into account the inductor nonlinearity till saturation and the variation of its inductance with the weather conditions. To this end analogmixedsignal circuit simulations are used to show the effects of the weather conditions on the dynamical behavior of the overall PV system.