Advances in Powertrains and Automotives, 2015, Vol. 1, No. 1, 34-41 Available online at http://pubs.sciepub.com/apa/1/1/4 © Science and Education Publishing DOI:10.12691/apa-1-1-4 Fuzzy Self Tuning of PID Controller for Active Suspension System A S. Emam * Department of Automotive and Tractors Engineering, Faculty of Engineering, Mataria, Helwan University, Cairo, Egypt *Corresponding author: Ashraf_galab@yahoo.com Received June 26, 2015; Revised July 07, 2015; Accepted July 09, 2015 Abstract Suspension system plays an imperative role in retaining the continuous road wheel contact for better road holding. In this paper, fuzzy self-tuning of PID controller is designed to control of active suspension system for quarter car model. A fuzzy self-tuning is used to develop the optimal control gain for PID controller (proportional, integral, and derivative gains) to minimize suspension working space of the sprung mass and its change rate to achieve the best comfort of the driver. The results of active suspension system with fuzzy self-tuning PID controller are presented graphically and comparisons with the PID and passive system. It is found that, the effectiveness of using fuzzy self-tuning appears in the ability to tune the gain parameters of PID controller Keywords: activesuspension system, PID controller, fuzzy logic control, self-tuning controller Cite This Article: A S. Emam, “Fuzzy Self Tuning of PID Controller for Active Suspension System.” Advances in Powertrains and Automotives, vol. 1, no. 1 (2015): 34-41. doi: 10.12691/apa-1-1-4. 1. Introduction Ride comfort and vehicle handling have become two of the important criteria in a passenger vehicle which is directly related to driver fatigue, discomfort, and safety. The purpose of the suspension systems are attempted to isolate vehicle vibration excitations from being transmitted to the drivers and to improve passenger comfort [1,2]. Conventional suspension system has fix criteria of spring and damping. These two mechanical components have some limitation in isolating vibration especially in various types of road profiles [3]. Also, in order to improvement the passenger comfort, the passive elements (springs and dampers) must be selected in soft part, but in order to increase the qualification of driving the passive elements must be selected in harder part. This discrepancy in selection the type of passive elements indicates that, we cannot attain to both two objectives by using the passive suspension system [4,5]. Therefore, the suspension system needs to change the system specifications in a dynamic aspect according to the conditions of the road. So, several semi-active, active, and fully active suspension approach have been designed and built to address this problem. Nowadays, many researchers give more attention in proposed and implemented various semi-active and active vehicle suspension systems both theoretically as well experimentally into real-time application. Hac [6] derived the preview control problem of an active vehicle suspension with a quarter-car model and showed that the suspension performance could be improved by using preview information. Gordon [7] proposed the optimal control of a semi-active vehicle suspension system for quarter-vehicle model. Analysis is based on a simple fifth- order mathematical model of the ride dynamics of an automotive suspension. The semi-active control of vehicle suspension system with magnetorheological damper was presented by Yao et al. [8]. Bouazara and Richard [9] analyzed the effects of vibrations on comfort and road holding capability of road vehicles as observed in the variation of different parameters such as suspension coefficients, road disturbances and the seat position. Du et al. [10] studied the application of MR dampers to semi- active of vehicle suspension. A multi-objective genetic algorithm for assessing the optimality of control algorithms for semi-active vehicle was developed by Crews et al. [11]. The evaluation of experimental performance for an LQ-based semi-active and controller concept was investigated by Unger et al. [12]. Li et al. [13] proposed a multi-objective control method for active vehicle suspension of four-degree-of-freedom half-car model. Recently, various control strategies have been proposed to control the activeand active suspension system. Linear Quadratic Gaussian (LQG) control, adaptive control, robust control, and non-linear control are developed and proposed to manage the occurring problems [14,15,16]. Multi-objective functional such as H 2 , H ∞ , GL 2 , GH 2 , GA, etc. control of vehicle suspensions attracts more attention many researchers [17,18,19,20]. Fuzzy logic control (FLC) and PID controller approach has been fruitful research area with semi-active and active suspension system [21,22,23,24]. The main objective of this paper, we present a multi- objective control for the active suspension system for quarter car model by using PID controller. Previous methods are used to determine the gains of PID do not guarantee the best performance of the system, which support the important of fuzzy self-tuning method to