Abstract Dynamics of miniature unmanned helicopter are considered nonlinear and mutually coupled; therefore designing of a stable control becomes a big challenge for researchers. This paper addresses this issue by proposing a hybrid control methodology using both traditional and intelligent control. A 3DoF model helicopter system is used as a controlled platform. This hybrid control used PID as...

The modelling, numerical simulation and intelligent control of an expert HVAC (heating, ventilating and air-conditioning) system having two different zones with variable flow-rate were performed by considering the ambient temperature in this study. The sub-models of the system were obtained by deriving heat transfer equations of heat loss of two zones by conduction and convection, cooling unit ...

The static synchronous compensator (STATCOM) has recently received much attention owing to its ability to stabilize power systems and mitigate voltage variations. This paper investigates a novel interval type-II fuzzy rule-based PID (proportional-integral-derivative) controller for the STATCOM to mitigate bus voltage variations caused by large changes in load and the intermittent generation of ...

An intelligent control scheme using a fuzzy switching mechanism, grey prediction and genetic algorithm (GA) is applied to a coupled nonlinear system, called a twin rotor multi-input multi-output system (TRMS). In real-time control, a Xilinx Spartan II SP200 FPGA (Field Programmable Gate Array) is employed to construct a hardware-in-the-loop system through writing VHDL on this FPGA. The objectiv...

Steer-by-wire performance is largely determined by the control system is applied. In this paper the present modeling and simulation of vehicle steering control system using Particle Swarm Optimization to tune the parameters that are needed on Fuzzy Logic and PID control, the cascade Fuzzy Logic and PID control used for controlling lateral motion and yaw motion errors on the vehicle model be rep...

Permanent Magnet Synchronous Motor (PMSM) is a non-linear, complex time-varying system. The control performance is not satisfactory in the traditional PID control method. Based on the combination of PI and fuzzy control, the controller of fuzzy self-adaptive PI was designed in this paper. The PID parameters can be set with fuzzy algorithmic approach automatically. Experimental results show that...

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...

Networked control systems (NCS) have been in attention for many researchers for the past ten years. Professional solutions like PROFINET or IWLAN are followed with cheaper and popular networks like ZigBee. Multiple control methodologies have been developed for this kind of systems. In this paper we threated network disadvantages as uncertainty and we reduced them with type-2 fuzzy logic control...

This paper proposes a grey-PID type fuzzy controller (GPIDFC) with an adaptive step size to control the velocity of a spherical rolling robot characterized by a highly nonlinear system model. The proposed control structure consists of a grey predictor and a PID type fuzzy controller (PIDFC). Another fuzzy controller is proposed to tune the step size of the grey predictor. The simulation results...