Research On Fuzzy Robust Optimization For Spring Actuator Of Vacuum Circuit Breaker

High-voltage circuit breaker is the most important device of control and protection power system. It plays a key role for power systemic safeness. The actuator's motion characteristics and reliability of high-voltage circuit breaker has a direct impact on the operation performance and reliability of circuit breaker. The issus of fuzzy robust optimization for spring actuator of vacuum circuit breaker, is forwardlooking in engineering, and has a good application prospect and practical value. For its study has a very important theoretical and practical significance.The spring actuator of 12kV, 12.5kA vacuum circuit breaker has been as the investigation in here. Based on the dynamics kinematic analysis for this mechanism, the discrete-time formula used to calculate the breaking and cloeing velocity is given. The lengths of the connecting rods of the mechanism are chosen as the optimal variablies, minimizing the variance of the breaking and closing velocity and minimizing the materials costs of those rods compose the objection function. A mathematical model of conventional optimal design for the mechanism is given. The optimal design is carried on by solving this model, ths optimal results are discussed by comparing with present model. The machining error of the mechanism is taken as the tolerance of the mechanism components. The lengths of the rods of the mechanism and stiffness coefficient of the breaking and closing spring are chosen as the optimal variablies. Given the tolerance of variablies, minimizing the variance and fluctuation of the breaking and closing velocity compose the objection function. So a mathematical model of robust optimal design for the mechanism is given, the robustness of robust optimal results is discussed by comparing with present model and conventional optimal design. The kinematic pair clearance, installation level, material grade and design standard are taken as uncontrollable factors. The lengths of the rods of the mechanism and stiffness coefficient of the breaking and closing spring are chosen as the optimal variablies. Given the tolerance of variablies and fuzzy processed the influence carried by those uncontrollable factors, minimizing the variance and fluctuation of the breaking and closing velocity compose the objection function. So a fuzzy robust optimal model for the mechanism is given, the robustness of the fuzzy robust optimal results is discussed. The result of this fuzzy robust optimial design is taken as specification. To minimize the error and fluctuation of stiffness coefficient of the breaking and closing spring are chosen as the objection function, the fuzzy robust optimial design for those springs are given. This work makes fuzzy robust optimial design to be better.For solving each optimial model, some optimal strategies are proposed. Secondly carry on the test using some classics standard test functions to the algorithm of merging the random direction search method and the complex algorithm, the simulation result indicated the algorithm has the good optimized effect in the function optimization question. By using fuzzy reasoning theory, combining with optimal design techniques, and adopting Matlab softwork, each optimization model is solved. By analysis and compared to optimal design results, it shows that the result of fuzzy robust optimal design has the optimum performance and is the most robust of these models.