Thrust Vector Controller Comparison for a Finless Rocket

被引:1
|
作者
Sopegno, Laura [1 ,2 ]
Livreri, Patrizia [2 ]
Stefanovic, Margareta [1 ]
Valavanis, Kimon P. [1 ]
机构
[1] Univ Denver, Dept Elect & Comp Engn, Denver, CO 80210 USA
[2] Univ Palermo, Dept Engn, Viale Sci,Bldg 9, I-90128 Palermo, Italy
关键词
linear control; LQR; LQG; PID; rocket; TVC; GENETIC ALGORITHM; DESIGN;
D O I
10.3390/machines11030394
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The paper focuses on comparing applicability, tuning, and performance of different controllers implemented and tested on a finless rocket during its boost phase. The objective was to evaluate the advantages and disadvantages of each controller, such that the most appropriate one would then be developed and implemented in real-time in the finless rocket. The compared controllers were Linear Quadratic Regulator (LQR), Linear Quadratic Gaussian (LQG), and Proportional Integral Derivative (PID). To control the attitude of the rocket, emphasis is given to the Thrust Vector Control (TVC) component (sub-system) through the gimballing of the rocket engine. The launcher is commanded through the control input thrust gimbal angle d, while the output parameter is expressed in terms of the pitch angle ?. After deriving a linearized state-space model, rocket stability is addressed before controller implementation and testing. The comparative study showed that both LQR and LQG track pitch angle changes rapidly, thus providing efficient closed-loop dynamic tracking. Tuning of the LQR controller, through the Q and R weighting matrices, illustrates how variations directly affect performance of the closed-loop system by varying the values of the feedback gain (K). The LQG controller provides a more realistic profile because, in general, not all variables are measurable and available for feedback. However, disturbances affecting the system are better handled and reduced with the PID controller, thus overcoming steady-state errors due to aerodynamic and model uncertainty. Overall controller performance is evaluated in terms of overshoot, settling and rise time, and steady-state error.
引用
收藏
页数:15
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