Half Car Suspension System Integrated With PID Controller

Abstract

In this paper, modeling and simulation of nonlinear, Half-car Active Vehicle Suspension System (HAVSS) reinforced with PID controller is presented. The model has 4 degrees of freedom; comprising of heave movements of the front and rear axle, pitch and heave motions of the unsprung mass of the vehicle. The vehicle is excited by a triangular bump on an otherwise smooth road. The objective of the presented model is to isolate the vehicle body from these road disturbances in order to maximize passenger ride comfort and retain continuous road-wheel contact. PID controller is used to supress the vibrations generated from the road unevenness. Newton's approach is used in system modeling due its simplicity over D'Alembert's and Lagrange's approach. The simulation, carried out in MATLAB environment, vividly shows the superior performance; in both effectiveness and robustness of the HAVSS over its passive control counterpart.

Design and Performance Assessment of Adaptive Harmonic Control for a Half‐Car Active Suspension System

“…[rf] rf signal In order to generate the road disturbance input, a signal builder source block is used, which abides by equation (11) and was implemented using the code lines (14). Additionally, the time delay (12) of the road disturbance for the rear suspension is implemented using a variable time delay block.…”

“…is topic was mostly studied considering a PID controller capable of dynamic tuning of its parameters using fuzzy logic [12], machine learning algorithms [13], or specific criteria [14,15].…”

Design of1PID Controller9using ABC9for9Full Vehicle Nonlinear Active Suspension System with Passenger Seat

“…The proportional controller action is generated based on the current error, this term is represented as the multiplication of the system error and the proportional gain so can be mathematically expressed as [16,17] .. (12) The integral control provided a control signal to the system, these signal are generated based on the sum of recent error. The integral action it is mainly utilized to eliminate static error and improve the stability of system by removing the offset introduced by the proportional control, but a phase lag is added into the system.…”

“…(18) .. (18) Each onlooker bee assign to an employed bee at random according to a probability value, now each onlooker bee produce new solution as in Eq. (17). Then the fitness of each new solution is calculated as give in Eq.…”

Control analysis of vehicle ride comfort through integrated control devices on the quarter and half car active suspension systems

“…14–18 The research conducted by Rosli et al 19 combined the active force control and iterative learning together with the PID-based approach in a new hybrid control method for a vehicle suspension system. Kunya and Ata 20 modeled and simulated a half car active suspension system by using a triangular bump as a road disturbance to isolate the vehicle body in order to maximize passenger ride comfort and retain a continuous road-wheel contact. They noticed that the ride comfort was improved by the given road bump.…”