论文:2013,Vol:31,Issue(1):1-7
引用本文:
耿峰, 祝小平, 周洲, 孟俊生. 一种有效的高速攻击型无人机二自由度PID控制[J]. 西北工业大学
Geng Feng, Zhu Xiaoping, Zhou Zhou, Meng Junsheng. An Effective 2-DOF (Two Degree-of-Freedom) PID Control of High Speed Attack Unmanned Aerial Vehicles (UAV)[J]. Northwestern polytechnical university

一种有效的高速攻击型无人机二自由度PID控制
耿峰1,2, 祝小平2, 周洲1, 孟俊生3
1. 西北工业大学 无人机特种技术重点实验室, 陕西 西安 710072;
2. 西北工业大学 无人机研究所, 陕西 西安 710072;
3. 中国东方航空工程技术公司, 上海 200335
摘要:
高速攻击型无人机的飞行控制系统需要具有最佳的指令跟踪性能、干扰抑制性能和鲁棒性,而传统单自由度PID控制技术只有1组PID参数,无法同时满足上述设计要求,针对这一问题,采用给定值滤波器型二自由度微分先行PID控制技术。通过利用基于改进的粒子群优化算法的H∞参数整定方法进行微分先行PID控制器设计,保证系统"干扰抑制性能及鲁棒性最佳",通过调节二自由度化系数(给定值滤波器设计),确保系统"指令跟踪性能最佳"。以俯仰控制回路设计为例,经仿真与对比研究,结果表明,该控制技术克服了单自由度PID控制技术的不足,控制回路的控制品质满足设计要求。
关键词:    约束最优化    自由度(力学)    扰动抑制    飞行控制系统    纵向控制    多目标优化    粒子群优化    鲁棒性(控制系统)    示意图    无人机    微分先行    PID控制   
An Effective 2-DOF (Two Degree-of-Freedom) PID Control of High Speed Attack Unmanned Aerial Vehicles (UAV)
Geng Feng1,2, Zhu Xiaoping2, Zhou Zhou1, Meng Junsheng3
1. Science and Technology on UAV Laboratory, Northwestern Polytechnical University, Xi'an 710072, China;
2. Research Institute of UAV, Northwestern Polytechnical University, Xi'an 710072, China;
3. CEA Engineering & Technic, Shanghai 200335, China
Abstract:
High-speed attack UAV flight control system needs to have the best command tracking performance, dis-turbance rejection performance and robustness, but the traditional single degree of freedom PID controller has onlyone set of PID parameters, thus it can not fully meet these design requirements.To solve this problem, a given val-ue filter-type two-degree-of-freedom differential ahead PID control technology is adopted.Sections 1 through 3 ofthe full paper explain our 2-DOF PID control mentioned in the title, which we believe is effective and whose coreconsists of: (1) in the differential ahead PID controller design, the H parameter tuning method based on an im-proved particle swarm optimization (PSO) is used to ensure that the system has the best disturbance rejection per-formance and robustness; (2) through adjusting the parameters of given value filter, it guarantees that the systemhas the best tracking performance.Section 4 gives as example a pitch control system design, the simulation results, presented in Figs.4 through 6 and their analysis show preliminarily that the pitch control system is indeed effective:it meets the design requirements and the proposed control technology overcomes the inherent shortcomings of the tra-ditional single degree of freedom PID control.
Key words:    constrained optimization    degrees of freedom (mechanics)    disturbance rejection    flight control sys-tems    longitudinal control    multiobjective optimization    particle swarm optimization (PSO)    robust-ness (control systems)    schematic diagrams    unmanned aerial vehicles (UAV);differential ahead    PID control   
收稿日期: 2012-03-01     修回日期:
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作者简介: 耿峰(1977-),西北工业大学博士后,主要从事导航、制导与控制的研究。
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