Development of Smart Elements of Automobile due to a System Fusion Design

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In order to seamlessly integrate actuators, sensors and controls with material and structural components, a simultaneous optimal design of structural and control subsystems is necessary. This is because the parameters obtained by traditional methods may not be optimal for the whole system. In traditional design methods, the structural parameters are optimized first and then an optimal controller is designed. In simultaneous optimal design, the interaction of the structure and controller is considered and the parameters of structural and control subsystems are optimized simultaneously.We proposed a new method of simultaneous optimization using unified H_2 /H_- objective functions, which possesses generality for problems involving the improvement of the dynamic characteristics of control led structures. This method was applied to the example of the design of a spring-supported beam, with the goal of suppressing of forced vibrations. The simultaneous optimization problem was solved by a sequence of minimization of the objective function over the structural parameters (holding the controller fixed) and over the controller gains (holding the structural parameters fixed). The sequential quadratic programming method and the linear matrix inequality method were used in the optimization of the structural and control subsystems, respectively.Furthermore, this method was applied to the design of a steering wheel and a door panel of car. Smart boards were proposed as a structural component integrated with actuators and sensors.