Vehicle dynamics and control has become a key research area by many researchers around the globe. Most of the researchers proven the effectiveness of different controllers for full order model without considering the actuator dynamics. However, this paper investigates the design and analysis of Linear Quadratic Regulator for reduced order full car model incorporating the dynamics of the actuator to improve system performance. The vehicle model is reduced to a minimal order using minimal realization technique. The entire system response were simulated in MATLAB/ Simulink environment. The effectiveness of LQR controller was compared for the system model with and without actuator dynamics for different road profiles. The simulation results indicates that the percentage reduction in the peak value of vertical and horizontal velocity for the LQR with actuator dynamics relative to LQR without actuator dynamics is 66.67%. Overall simulation results demonstrates that the proposed control scheme has able to improve the effectiveness of the vehicle active suspension system for both ride comfort and vehicle stability compared to PID and Fuzzy controllers.


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    Titel :

    DESIGN OF OPTIMAL LINEAR QUADRATIC REGULATOR (LQR) CONTROL FOR FULL CAR ACTIVE SUSPENSION SYSTEM USING REDUCED ORDER


    Beteiligte:

    Erscheinungsdatum :

    2019-10-15


    Anmerkungen:

    doi:10.20372/nadre/4064



    Medientyp :

    Hochschulschrift


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629




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