摘要
针对汽轮机调速系统中存在的时滞、惯性、死区和饱和等非线性环节,采用模糊控制理论并结合免疫反馈机理构成了模糊免疫PID控制器。提出基于加速混沌搜索与变尺度策略结合起来的混合混沌优化方法对PID控制器参数进行优化设计。通过加速混沌搜索,快速得到控制器参数的次优值;利用变尺度的方法在次优值的附近找出控制器参数的全局最优值,避免了设计过程中大量的参数调试工作。仿真结果表明,该方法与传统的PID控制和模糊免疫PID控制相比,具有超调小、响应快、自适应性好、优化效率高等优点,明显改善了汽轮机调节系统的控制品质。
Aimed at the non-linear links such as time lag, inertia, dead time and saturation within the turbine governing system, a fuzzy-immune-PID control system was designed based on the principium of immune feedback and the theory of fuzzy control, while the PID parameters were tuning with chaos variables. Furthermore, a new chaos optimization algorithm that mixed stepped-up chaos optimization algorithm and mutative scale strategy is proposed, which can speed up the chaos ergodic optimum searching of the controller parameters and avoid a mass of tuning work in the progress of design. Simulation results compared with the traditional PID controller and fuzzy-immune PID controller prove that the method has many merits including small overshoot, fast response, good self-adaptability, high optimal efficiency, and obviously improving the control performances of the turbine governing system.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2006年第11期70-74,共5页
Proceedings of the CSEE
关键词
汽轮机调速系统
混沌优化
变尺度
加速混沌搜索
模糊免疫PID
turbine governing system
chaos optimization
mutative scale
stepped-up chaos search
fuzzy-immuneproportion integral differential