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State Feedback H-infinity Control of Power Units Based on an Improved Particle Swarm Optimization

机译：基于改进粒子群算法的动力单元状态反馈H-∞控制

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摘要

A new state feedback H-infinity control scheme is presented used in the boiler-turbine power units based on an improved particle swarm optimizing algorithm. Firstly, the nonlinear system is transformed into a linear time-varying system; then the H-infinity control problem is transformed into the solution of a Riccati equation. The control effect of H-infinity controller depends on the selection of matrix P, so an improved particle swarm optimizing (PSO) algorithm by introducing differential evolution algorithm is used to solve the Riccati equation. The main purpose is that mutation and crossover are introduced for a new population, and the population diversity is improved. It is beneficial to eliminate stagnation caused by premature convergence, and the algorithm convergence rate is improved. Finally, the real-time optimizing of the controller parameters is realized. Theoretical analysis and simulation results show that a state feedback H-infinity controller can be obtained, which can ensure asymptotic stability of the system, and the double objectives of stabilizing system and suppressing the disturbance are got. The system can work well over a large range working point.
机译：提出了一种基于改进的粒子群算法的状态反馈H无穷大控制方案。首先，将非线性系统转化为线性时变系统。然后将H-无穷大控制问题转化为Riccati方程的解。 H-∞控制器的控制效果取决于矩阵P的选择，因此采用引入微分进化算法的改进粒子群算法（PSO）求解Riccati方程。主要目的是为新种群引入突变和交叉，并改善种群多样性。有利于消除由于过早收敛而造成的停滞，提高了算法的收敛速度。最后，实现了控制器参数的实时优化。理论分析和仿真结果表明，可以获得状态反馈H-∞控制器，可以保证系统的渐近稳定性，达到了稳定系统和抑制干扰的双重目的。该系统可以在较大范围的工作点上正常工作。

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  • 来源
    《Mathematical Problems in Engineering》 |2015年第18期|928343.1-928343.7|共7页
  • 作者

    Wu Zhongqiang; Xiao Xuefei;

  • 作者单位

    Yanshan Univ, Key Lab Ind Comp Control Engn Hebei Prov, Qinhuangdao 066004, Peoples R China.;

    Yanshan Univ, Key Lab Ind Comp Control Engn Hebei Prov, Qinhuangdao 066004, Peoples R China.;

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