Abstract
In order to improve the ride comfort straddle-type monorail, based on the full-scale straddle-type monorail model with 38-DOF, combined with the modular control thought and adaptive neural fuzzy inference system(ANFIS) control theory, the ANFIS-PID controller is designed, in which the vertical vibration velocity and acceleration, pitching angular velocity and angular acceleration, rolling angular velocity and angular acceleration are taken as inputs and the actuator force of active suspension as outputs. The results show that compared with existing passive suspension, the root mean squared values(RMS) of vertical acceleration, pitching angular acceleration and rolling angular acceleration of active suspension is significantly reduced, respectively. And the vibration amplitude below 10Hz frequency range is suppressed, which is the human sensitivity frequency. Active suspension controlled by ANFIS-PID can be used as a way to improve the ride comfort of straddle monorail vehicles.
Highlights
With the development of cities, urban traffic problems become more and more serious, which needs to adopt new transportation systems
Based on the 38-DOF full-scale dynamic model of straddle-type monorail vehicle, an ANFISPID controller is proposed for the whole vehicle in this paper, which uses the modular control thought and adaptive neural fuzzy inference system(ANFIS), vibration reduction effect of ANFIS-PID controller is studied
Three independent ANFIS-PID controllers are established for this three motion, in which the vertical vibration velocity and acceleration, pitching angular velocity and angular acceleration, rollingangular velocity and angular acceleration are taken as inputs and the actuator forceof active suspensionas outputs
Summary
With the development of cities, urban traffic problems become more and more serious, which needs to adopt new transportation systems. Ahmed et al [6] develop the PID control algorithm for 1/4 car 2-DOF suspension systems, which improves performance of the system with respect to design goals compared to passive suspension system. Chen et al [7] propose an adaptive sliding controller for controlling a non-autonomous 1/4 car suspension system with time-varying loadings, the results of simulation indicate the proposed controller gives significant performance improvement compared with the pure passive design from the viewpoint of ride comfort. Based on the 38-DOF full-scale dynamic model of straddle-type monorail vehicle, an ANFISPID controller is proposed for the whole vehicle in this paper, which uses the modular control thought and adaptive neural fuzzy inference system(ANFIS), vibration reduction effect of ANFIS-PID controller is studied.
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