-
摘要:
针对涡轴发动机分布式控制系统中存在时延导致系统性能退化的问题,利用线性矩阵不等式(LMI)方法设计了时延鲁棒串级PI控制器。先利用内模控制(IMC)方法得到涡轴发动机串级控制器内、外环的PI控制器结构;再利用频域回路成形的方法给出保证系统具有期望性能的LMI形式约束条件;利用梯度近似的方法通过劳斯-赫尔维茨判据得到保证系统稳定的控制器参数约束条件;最后,在基于TrueTime的涡轴发动机分布式非线性仿真平台上进行数字仿真。仿真结果表明:在0.04 s时延条件下,当功率需求下降5%时,系统的调节时间小于5 s,功率涡轮转速超调不超过0.5%,且其最大燃油变化率只有传统串级PI控制系统的67%;设计的控制器能有效应对涡轴发动机分布式控制系统中存在的时延问题,同时能够以更小的代价保证系统具有期望的性能。
-
关键词:
- 涡轴发动机分布式控制系统 /
- 时延 /
- 鲁棒串级PI控制器 /
- 线性矩阵不等式 /
- 频域回路成形 /
- TrueTime仿真
Abstract:To address the problem of system performance degradation caused by time delay in the distributed control system of turboshaft engines, this study proposes a method for designing a time-delay robust cascade PI controller based on linear matrix inequalities (LMIs) method. Firstly, the PI controller structure of the inner and outer loops of the cascade controller of the turboshaft engine is obtained according to the internal model control (IMC) method. The constraints in the form of LMI are given by the frequency loop shaping method, which ensures that the system has the desired performance. Then, gradient approximation method is used to derive stability constraints of the system based on the Routh-Hurwitz criterion. Finally, the digital simulation is carried out on the distributed nonlinear simulation platform for the turboshaft engine. The simulation results show that when the power demand drops by 5% with 0.04 s time delay, the adjustment time of the system is less than 5 s, and the power turbine speed overshoot does not exceed 0.5%, with the maximum fuel rate being 67% of the legacy control loop. This shows that the proposed method can effectively deal with the time delay in the turboshaft engine with distributed control system, and ensure the desired system performance at a lower cost .
-
-
[1] DELOSREYES G, GOUCHOE D R. The design of a turboshaft speed governor using modern control techniques: 19880000957[R]. Cleveland: NASA Lewis Research Center, 1986: 40-50. [2] BELAPURKAR R K, YEDAVALLI R K. LQR control design of discrete-time networked cascade control systems with time delay[C]//Proceedings of the ASME 2011 Dynamic Systems and Control Conference. New York: ASME Press, 2011: 299-304. [3] LIU X F, LUO C S. Stability analysis for GE T700 turboshaft distributed engine control systems[J]. IEEE Access, 2017, 5: 22485-22491. doi: 10.1109/ACCESS.2017.2762081 [4] CULLEY D E, PALUSZEWSKI P J, STOREY W, et al. The case for distributed engine control in turboshaft engine systems [C]//65th Annual Forum and Technology Display. Reston: AIAA, 2009, 2: 1732-1745. [5] CULLEY D, THOMAS R, SAUS J. Concepts for distributed engine control[C]//43rd AIAA/ASME/SAE/ ASEE Joint Propulsion Conference & Exhibit. Reston: AIAA, 2007, 7: 6910-6920. [6] PAKMEHR M, CHAKRAVARTHY MURALIDHAR R S, SUTTER L F, et al. Developing concepts for optimal scheduling in distributed turbine engine control systems[C]//AIAA Propulsion and Energy 2019 Forum. Reston: AIAA, 2019: 1-10. [7] HUANG C Z, BAI Y, LI X L. Fundamental issues in networked cascade control systems[C]// Proceedings of the IEEE International Conference on Automation and Logistics. Piscataway: IEEE Press, 2008: 3014-3018. [8] HUANG C Z, BAI Y, QIU Z C. PID tuning of networked cascade control system based on desired closed-loop system responses[J]. Control & Instruments in Chemical Industry, 2010, 37(3): 19-24. [9] HUANG C Z, BAI Y, LIU X J. H-infinity state feedback control for a class of networked cascade control systems with uncertain delay[J]. IEEE Transactions on Industrial Informatics, 2010, 6(1): 62-72. doi: 10.1109/TII.2009.2033589 [10] AZAR A T, SERRANO F E. Robust IMC-PID tuning for cascade control systems with gain and phase margin specifications[J]. Neural Computing and Applications, 2014, 25(5): 983-995. doi: 10.1007/s00521-014-1560-x [11] ALFARO V M, VILANOVA R, ARRIETA O. Robust tuning of Two-Degree-of-Freedom (2-DoF) PI/PID based cascade control systems[J]. Journal of Process Control, 2009, 19(10): 1658-1670. doi: 10.1016/j.jprocont.2009.08.006 [12] CHEN Y F, GUO Y Q, LI R C. State feedback control for partially distributed turboshaft engine with time delay and packet dropouts [C]//Proceedings of the 37th Chinese Control Conference. Piscataway: IEEE Press, 2018: 9854-9859. [13] LIU X F, SUN X. H∞ networked cascade control system design for turboshaft engines with random packet dropouts[J]. International Journal of Aerospace Engineering, 2017, 2017: 1-12. [14] 陈义峰, 郭迎清, 李睿超, 等. 涡轴发动机分布式控制系统架构设计[J]. 航空计算技术, 2019, 49(5): 21-26.CHEN Y F, GUO Y Q, LI R C, et al. Design of turboshaft engine distributed control system architecture[J]. Aeronautical Computing Technique, 2019, 49(5): 21-26(in Chinese). [15] WANG Q G, HANG C C, YANG X P. Single-loop controller design via IMC principles[J]. Automatica, 2001, 37(12): 2041-2048. doi: 10.1016/S0005-1098(01)00170-4 [16] 潘笑, 钟祎勍. 基于IMC的PID控制器的设计实现[J]. 计算机仿真, 2005, 22(8): 80-82.PAN X, ZHONG Y Q. Design and realization of PID control based on IMC [J]. Computer Simulation, 2005, 22(8): 80-82(in Chinese). [17] MAO H T, GUO Y Q, LI R C, et al. Versatile simulation platform for turboshaft engine control system[C]//Proceedings of the 38th Chinese Control Conference. Piscataway: IEEE Press, 2019: 7211-7216. [18] NAJAFIZADEGAN H, MERRIKH-BAYAT F, JALILVAND A. IMC-PID controller design based on loop shaping via LMI approach[J]. Chemical Engineering Research and Design, 2017, 124: 170-180. doi: 10.1016/j.cherd.2017.06.007 [19] 王海泉. 航空发动机H∞鲁棒控制器设计及仿真验证[D]. 西安: 西北工业大学, 2009: 11-14.WANG H Q, H∞ robust controller design for aero-engine and simulation[D]. Xi’an: Northwestern Polytechnical University, 2009: 11-14(in Chinese). [20] DAMEN A, WWEILAND S. Robust control[M]. Eindhoven: Eindhoven University of Technology Press, 2002: 61-68. [21] 俞立. 鲁棒控制: 线性矩阵不等式处理方法[M]. 北京: 淸华大学出版社, 2002: 8-10.YU L. Robust control: Linear matrix inequalities processing method[M]. Beijing: Tsinghua University Press, 2002: 8-10(in Chinese). [22] LOFBERG J. YALMIP: A toolbox for modeling and optimization in MATLAB[C]//2014 IEEE International Conference on Robitcs and Automation. Piscataway : IEEE Press, 2005: 284-289. [23] BALLIN M G. A high fidelity real-time simulation of a small turboshaft engine: 19880016994[R]. Moffett Field: NASA AMES Research Center, 1988: 1-2. [24] CERVIN A, HENRIKSSON D, LINCOLN B, et al. How does control timing affect performance? Analysis and simulation of timing using Jitterbug and TrueTime[J]. IEEE Control Systems, 2003, 23(3): 16-30. doi: 10.1109/MCS.2003.1200240 [25] 杨征山, 李胜泉, 章霖官. 涡轴发动机动力涡轮转速控制回路方案研究[J]. 航空发动机, 2005, 31(2): 46-50.YANG Z S, LI S Q, ZHANG L G. Speed control loop schemes for power turbines of turboshaft engine[J]. Aeroengine, 2005, 31(2): 46-50(in Chinese). -