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Linear quadratic regulator (LQR) speed control for DC motor using MC68HC11 / Che Ku Mohd Faizul Bin Che Ku Mohd Salleh

By:

Che Ku Mohd Faizul Che Ku Mohd Salleh

Material type: Text

TextPublication details: Kuantan, Pahang : UMP , 2008Description: 84 p. : ill. (some col.) ; 30 cm. + 1 computer discISBN:

THE0006142(Local)

Other title:

Linear quadratic regulator (LQR) speed control for DC motor using MC68HC11 [electronic resource]

Subject(s):

Dissertation note: Project paper (Bachelor of Electrical Engineering (Electronics)) -- Universiti Malaysia Pahang - 2008 Summary: Linear Quadratic Regulator (LQR) control problems have been widely investigated in the literature. The performance measure is a quadratic function composed of state vector and control input. If the linear time-invariant system is controllable, the LQR control law will be obtained via solving the algebraic Riccati equation. The LQR tuning algorithm in microcontroller MC68HC11 is applied to the speed control of servo motor. The performance measure to be minimized contains output error signal and differential control energy. The LQR controller receives error signal only and it doesn’t need to feedback full states. The Q matrix can be determined from the roots of the characteristics equation. Once the poles for the closed-loop system are assigned, the existence criteria of the LQR controller are derived. In the motor control systems, error detector signal are used to provide feedback information on the motor. This error comparator is used in the control loop and to improve the reliability by detecting fault conditions that may damage the motor.

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Holdings ( 2 )
Title notes ( 2 )

Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Final Year Report	UMPLIB PEKAN	TJ220 .C44 2008 rs Bc. (Browse shelf(Opens below))	1	Not for loan		0000037272
Final Year Report	UMPLIB PEKAN	CD 3200 \| TJ220 .C44 2008 rs Bc. (Browse shelf(Opens below))	1	Not for loan		0000037273

Project paper (Bachelor of Electrical Engineering (Electronics)) -- Universiti Malaysia Pahang - 2008

Linear Quadratic Regulator (LQR) control problems have been widely investigated in the literature. The performance measure is a quadratic function composed of state vector and control input. If the linear time-invariant system is controllable, the LQR control law will be obtained via solving the algebraic Riccati equation. The LQR tuning algorithm in microcontroller MC68HC11 is applied to the speed control of servo motor. The performance measure to be minimized contains output error signal and differential control energy. The LQR controller receives error signal only and it doesn’t need to feedback full states. The Q matrix can be determined from the roots of the characteristics equation. Once the poles for the closed-loop system are assigned, the existence criteria of the LQR controller are derived. In the motor control systems, error detector signal are used to provide feedback information on the motor. This error comparator is used in the control loop and to improve the reliability by detecting fault conditions that may damage the motor.