in this paper, the enhancement of vehicle stability and handling is investigated by control of the active geometry suspension system (ags). this system could be changed through control of suspension mounting point’s position in the perpendicular direction to wishbone therefore the dynamic is alternative and characteristics need to change. for this purpose, suitable controller needs to change mo...

Up to the present time, PID Controller has been widely used to control industrial process loops because of its implementational advantages. However, it is very difficult to achieve an optimal PID gain with no experience, since the parameters of the PID controller has to be manually tuned by trial and error. This paper focuses on tuning of the PID controller using gain/phase margin and immune al...

In this work, non-linear control of CSTR for reversible reaction is carried out using Fuzzy Logic as design tool. The Model Reference Adaptive Control approach in used to design Fuzzy controller. The idea is to have a control system that will be able to achieve improvement in the level of conversion and to be able to track set point change and reject load disturbance. We use PID control scheme ...

We designed a neuro fuzzy control strategy for control of cyclical leg movements of paraplegic subjects. The cyclical leg movements were specified by three ‘swing phase objectives’, characteristic of natural human gait. The neuro fuzzy controller is a combination of a fuzzy logic controller and a neural network, which makes the controller self tuning and adaptive. Two experiments have been perf...

In this study, the self-tuning method for fuzzy PID controllers that has been developed in a previous study of the authors is implemented on PLC in order to control some standard processes formed on FEEDBACK PCS 327 Process Control Simulator. In this tuning method, the input scaling factor corresponding to the derivative coefficient and the output scaling factor corresponding to the integral co...

In this paper, we test fuzzy logic-based compensation method for PID controller and conditioned Technique and compare their performance. As this compensation aims to diminish the effect of windup, it is referred to as anti-windup (AW). We consider two cases: set point tracking and disturbance rejection. For set point tracking and disturbance rejection, the fuzzy compensator shows better perform...

− This article presents further testing and verification results for a previously introduced new intelligent regulation method that controls the power-electronic Buck converter utilizing a small-signal model of the pulse width modulation (PWM) switch. The implemented intelligent control method uses a fuzzy-PID controller that is tuned using the global search method of genetic algorithm (GA). Th...

This paper presents a hybrid fuzzy-PID controller for air flow supply on a Proton Exchange Membrane fuel cell (PEMFC) system. The control objective is to adjust the oxygen excess ratio at a given setpoint in order to prevent oxygen starvation and damage of the fuel-cell stack. The proposed control scheme combines a fuzzy logic controller (FLC) and classical PID controller with a view to benefit...

We proposed a fuzzy control scheme to implement the cycle-to-cycle control for restoring swing phase of gait using functional electrical stimulation (FES). We designed two fuzzy controllers for the biceps femoris short head (BFS) and the vastus muscles to control flexion and extension of the knee joint during the swing phase. Control capabilities of the designed fuzzy controllers were tested an...

Multivariable liquid level control is essential in process industries to ensure quality of the product and safety of the equipment. However, the significant problems of the control system include excessive time consumption and percentage overshoot, which result from ineffective performance of the tuning methods of the PID controllers used for the system. In this paper, fuzzy logic was used to t...