基于离散串级控制的增量式比例-积分-微分-比例控制器的设计

Design of Proportional-Integral-Derivative-Proportional Controller Based on Discrete Cascade Control

  • 摘要: 针对串级控制系统中增量式比例-积分-微分-比例(PID-P)结构缺乏系统化的状态空间模型、稳定性分析及参数协同整定方法的问题,提出一种新颖的增量式PID-P控制器协同设计方法。首先,建立增量式PID-P结构的离散时间状态空间模型;其次,通过构建新的李雅普诺夫函数,结合稳定性理论,推导出闭环系统稳定的充分条件,并提出可同时求解主、副控制器全部增益参数的协同整定策略。最后,以火电厂主蒸汽温度控制系统为对象进行仿真验证。结果表明,与传统位置式比例-积分(PI)控制器相比,所提方法使系统稳定时间缩短36.6%,超调更小、收敛更快;相较于基于线性二次型调节器理论设计的增量式PID控制器,该方法在状态范数峰值、稳定时间及误差积分(ISE/IAE)方面均表现更优。此外,在输入扰动和参数摄动条件下,系统仍保持良好的动态性能与鲁棒稳定性。仿真结果验证了该方法在提升动态响应速度、暂态性能与鲁棒性方面的有效性。

     

    Abstract: To address the lack of a systematic state-space model, stability analysis, and parameter co-tuning method for the incremental proportional-integral-derivative-proportional (PID-P) structure in cascade control systems, we propose a novel co-design approach for the incremental PID-P controller. First, we establish a discrete-time state-space model of the incremental PID-P structure. Second, by constructing a new Lyapunov function and leveraging stability theory, we derive sufficient conditions for the closed-loop system stability, along with a co-tuning strategy that simultaneously determines all gain parameters of both primary and secondary controllers. Finally, we conduct simulation verification on the main steam temperature control system of a thermal power plant. The results demonstrate that, compared to the traditional positional proportional-integral (PI) controller, the proposed method reduces the settling time by 36.6%, achieves smaller overshoot, and ensures faster convergence. Additionally, when compared to the incremental PID controller based on linear quadratic regulator theory, the proposed method exhibits superior performance in terms of state norm peak, settling time, and integral error criteria (ISE/IAE). Moreover, the system maintains favorable dynamic performance and robust stability even under input disturbances and parameter perturbations. Simulation results validate the effectiveness of the proposed method in enhancing dynamic response speed, transient performance, and robustness.

     

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