Design of optimised linear quadratic regulator for capsule endoscopes based on artificial bee colony tuning algorithm

Abstract

Wireless Capsule Endoscope (WCE) is a new medical device that can be used for examining the whole digestive tract if effectively actuated. In this paper, a new three-coil actuator is proposed for the capsule endoscope navigation system. The proposed system, which is based on the currentcontrolled magnetic levitation concept, utilises a small permanent magnet within the capsule body and an arrangement of controlled electromagnet actuator placed on a movable frame. The dynamics of the proposed control system is modelled mathematically and then formulated in state space form. In this research, the Linear Quadratic Regulator (LQR) technique is used for designing a 3DOF controller for the capsule actuation system. Artificial Bee Colony (ABC) tuning algorithm is used for obtaining optimum values for controller gain parameters. The optimised LQR controller is simulated by using the Matlab/Simulink tool, and its performance is then evaluated based on the stability and control effort parameters to validate the proposed system. Finally, the simulation results suggest that the LQR controller based on the ABC optimisation method can be adopted to synthesise an effective capsule actuation system.

Aircraft pitch control design using LQG controller based on genetic algorithm

“…A pre-gain (𝑁) unit must be included to the pitch closed-loop control system if its output response shows steady state error in order to improve the regulation and tracking performance of the LQR controller. The pre-gain (𝑁) parameter shown in Figure 4 can be determined by the mathematical expression given in (10) and in "m.file" code by the defined Matlab function, 𝑁 = 𝑟𝑒𝑠𝑐𝑎𝑙𝑒(𝐴, 𝐵, 𝐶, 𝐷, 𝐾) [19], [27], [28].…”

A Hybrid Control Approach Based on the Combination of PID Control with LQR Optimal Control

“…Linear quadratic regulator is a common optimal control technique, which has been widely utilized in various manipulating systems due to its high precision in movement applications [11]. This technique seeks basically a tradoff betwwen a stable performance and acceptable control input [12]. Using the LQR controller in the design control system requires all the plant states to be measurable as it bases on the full state feedback concept.…”