Universiti Teknologi Malaysia Institutional Repository

LQR controller tuning by using particle swarm optimization

M. Lamin Gabasa, Hagag (2009) LQR controller tuning by using particle swarm optimization. Masters thesis, Universiti Teknologi Malaysia, Faculty of Electrical Engineering.



LQR is an optimal controller. Optimal in that it is defined so as to provide the smallest possible error to its input. Q and R matrix of LQR usually selected by trial and error. In two wheeled inverted pendulum robot, the most important variable to control is tilt angle. Therefore in this thesis, the value of Q is firstly set and then R the identity matrix is set. For small rising time and low overshoot for the overall control. After getting good value of Q, the feedback gain K is obtained. By using MATLAB simulink, we simulated new PSO algorithm for the LQR control to select the best Q control matrix. The selection is based on the smallest integral of absolute error of the random Q. From the simulation results, the very challenging controller design for the TWIP control system has been realized by the PSO-based LQ regulator. It is our firm belief that the proposed method is use useful not only for the control of TWIP robot problem but also for other difficult problems.

Item Type:Thesis (Masters)
Additional Information:Thesis (Sarjana Kejuruteraan (Elektrik - Mekatronik dan Kawalan Automatik)) - Universiti Teknologi Malaysia, 2009; Supervisor : Dr. Zuwairie Ibrahim
Uncontrolled Keywords:manipulators (mechanism), robots, programming
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:12197
Deposited By: Zalinda Shuratman
Deposited On:29 Mar 2011 04:26
Last Modified:17 Sep 2017 06:56

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