optimum parameters of nonlinear integrator using design of experiments based on taguchi method

For many physical systems like vehicles, acceleration can be easily measured for the respective states.however, the outputs are usually affected by stochastic noise disturbance. the mentioned systems areoften sensitive to noise and structural uncertainties. furthermore, it is very difficult to estimate themultiple integrals of the signal, acceleration to velocity and velocity to position. in this study,emphasis was on eliminating the drifting phenomenon caused by the noise disturbance. as a result, itis essential to find a reliable integrator to evaluate the multiple integrals of the signal. the goal of thisexperiment was to design a continuous low-drift integrator to estimate the integrals of a proposedsignal. in addition, the chattering is capable of amplifying the instability of the system and for thisreason, it should be avoided. in this study, a solution method was introduced for this problem which isinspired by the designing of experiments based on the taguchi method and therefore optimizes theparameters which are effective for minimizing the errors. the results show a reliable response incomparison to previous studies.