Modeling And Simulation of Full Bridge Zero Voltage Switching Inverter with Fuzzy Logic Controller

Robust control strategies for a two‐stage soft‐switching heating power supply of silicon growth furnace

“…In this paper, a two-stage soft-switching topology is employed in the heating power supply system of the silicon growth furnace, and the robust control strategies are proposed for the twostage soft-switching converters, respectively. By combining the advanced soft-switching topology with the robust control methods, the high efficiency and high performance of the heating FIGURE 17 The experiment results of the first-stage CACZVS three-phase PFC converter using the different voltage loop control methods for the load variation (a) the traditional PI control method in [11] (b) the traditional feedback control method in [13] (without observer) (c) the proposed feedback control method with sliding mode observer FIGURE 18 The experiment results of the second-stage FB-ZVZCS converter using the different control methods for the load variation (a) the traditional PI control method in [12] (b) the general fuzzy method in [24] (c) the proposed variable universe fuzzy control method power supply system are achieved under parameters uncertainty condition. The proposed control strategies fulfil the real-time requirements of the digital signal chips and can be extended to other types of converter.…”

“…Variable universe fuzzy control for the second-stage FB-ZVZCS converter Due to the time-varying thermal field conditions, the controller design for the second-stage converter in the heating power supply requires the robustness to the load variation. The fuzzy control method [16,17,24], due to the benefits of independent on the mathematical model of the converters, is suitable to deal with the system with uncertainty. The precision of the fuzzy controller depends on the number of the fuzzy variables and the fuzzy rules.…”

“…Due to the circuit parameters uncertainty, the control performance of the traditional PI or EFL controller degrades inevitably. The robust control strategies, such as the sliding mode (SM) control [14], adaptive control [15], fuzzy control [16,17] etc., are proposed for the robustness improvement of the AC/DC or DC/DC converters under parameters uncertainty. But there still exist problems like the controller output chattering in SM [18], the control parameters tuning difficulty in adaptive control [19] and the limit number of the fuzzy rules in Fuzzy control [20] etc.…”