Controller Design Using Adaptive Random Search for Close-Coupled Formation Flight

Controller Design Using Adaptive Random Search for Close-Coupled Formation Flight

Design of Random Vibration Controller using Adaptive Filtering

In this paper a control scheme for electro-dynamic shaker control is proposed. The proposed controller is best suitable for random vibration control in which the excitation signal is a random signal. The controller designed is using acceleration power spectral densities and adaptive filtering technique. The proposed scheme eliminates the requirement of tracking filters in the vibration control ...

Tuning of a Random Search Algorithm for Controller Design

Fixed structure controllers display numerous local minima for quadratic performance measures and high dimensional plants. In fact, minimizing a quadratic function with nonlinear constraints is known to be an NP-hard problem. This implies a severe computational burden for higher dimensional problems. One class of multi -modal optimization approach that could overcome this problem is random searc...

Design of Multi-Criteria PI Controller Using Particle Swarm Optimization for Multiple UAVs Close Formation

Close formation flight is one of the most complicated problems on multiple Uninhabited Aerial Vehicles (UAVs) coordinated control. This paper proposes a new method to achieve close formation tracking control of multiple UAVs by applying Particle Swarm Optimization (PSO) based Proportional plus Integral (PI) controller. Due to its simple structure and effectiveness, multi-criteria PI control str...

Design of a Model Reference Adaptive Controller Using Modified MIT Rule for a Second Order System

Sometimes conventional feedback controllers may not perform well online because of the variation in process dynamics due to nonlinear actuators, changes in environmental conditions and variation in the character of the disturbances. To overcome the above problem, this paper deals with the designing of a controller for a second order system with Model Reference Adaptive Control (MRAC) scheme usi...