This paper presents a comparative analysis of continuously stirred tank reactor (CSTR) control based on adaptive control and optimal tuning of PID control based on particle swarm optimization. In the design of adaptive control, Model reference adaptive control (MRAC) scheme is used, in which the adaptation law have been developed by MIT rule & Lyapunov’s rule. In PSO control parameters of PID c...

In this paper, a robust MRAC (model reference adaptive control) for a linear parabolic partial differential equation with unknown time-varying parameters and bounded disturbance is investigated. In the adaptive control of time-varying plants, the derivative of a Lyapunov function candidate, which allows the derivation of adaptation laws, is not negative semi-definite in general. Under the assum...

A novel speed estimation approach with control system based on model reference adaptive control (MRAC) is presented for low cost brushless dc motor drives with low-resolution hall sensors. The back EMF is usually used to estimate speed. But the estimation result is not accurate enough at low speeds because of the divided voltage of stator resistors and too small back EMF. Moreover, the stator r...

In the design of six degrees freedom (6-DOF) flight simulation system, unmodeled dynamic, transient performance and steady-state system are generally concerned. Considering that model is highly nonlinear requires high response speed stability, this paper applies L1 adaptive controller to control platform. The has a low-pass filter in feedback loop avoid frequencies signals, required can be enha...

Based on two successfully and widely used control techniques in many industrial applications under normal (fault-free) operation conditions, the Gain-Scheduled Proportional-Integral-Derivative (GS-PID) control and Model Reference Adaptive Control (MRAC) strategies have been extended, implemented, and experimentally tested on a quadrotor helicopter Unmanned Aerial Vehicle (UAV) testbed available...

The model reference adaptive control (MRAC) designed based on the fictitious reference iterative tuning (FRIT) approach in an on-line manner has recently been proposed. The FRIT method is an off-line control parameters tuning method so that the plant output could follow the prescribed reference model output from one-shot experimental input-output data with no need for help from plant model. The...

The main objective of adaptive control schemes is to produces reliable controllers under plant uncertainties, non-linearity and time varying parameters. Adaptation schemes are designed to cope with slow parameter changes; in addition, input signals are assumed to have frequency spectrum restricted to low frequency. In model reference adaptive control (MRAC) schemes, however, perfect model track...

In this paper, a novel Model Reference Adaptive Control (MRAC)-based hybrid control algorithm is presented for the trajectory tracking of a tri-rotor Unmanned Aerial Vehicle (UAV). The mathematical model of the tri-rotor is based on the Newton–Euler formula, whereas the MRAC-based hybrid controller consists of Fuzzy Proportional Integral Derivative (F-PID) and Fuzzy Proportional Derivative (F-P...

In one hand, the Model Reference Adaptive Control (MRAC) architecture has been widely used in linear adaptive control field. The control objective is to adjust the control signal in a stable manner so that the plant’s output asymptotically tracks the reference model’s output. The performance will depend on the choice of a suitable reference model and the derivation of an appropriate learning sc...