Continuous Reactor Temperature Control with Optimized PID Parameters Based on Improved Sparrow Algorithm

Abstract

To address the problems of strong coupling and large hysteresis in the temperature control of a continuously stirred tank reactor (CSTR) process, an improved sparrow search algorithm (ISSA) is proposed to optimize the PID parameters. The improvement aims to solve the problems of population diversity reduction and easy-to-fall-into local optimal solutions when the traditional sparrow algorithm is close to the global optimum. This differs from other improved algorithms by adding a new Gauss Cauchy mutation strategy at the end of each iteration without increasing the time complexity of the algorithm. By introducing tent mapping in the sparrow algorithm to initialize the population, the population diversity and global search ability are improved; the golden partition coefficient is introduced in the explorer position update process to expand the search space and balance the relationship between search and exploitation; the Gauss Cauchy mutation strategy is used to enhance the ability of local minimum value search and jumping out of local optimum. Compared with the four existing classical algorithms, ISSA has improved the convergence speed, global search ability and the ability to jump out of local optimum. The proposed algorithm is combined with PID control to design an ISSA-PID temperature controller, which is simulated on a continuous reactor temperature model identified by modeling. The results show that the proposed method improves the transient and steady-state performance of the reactor temperature control with good control accuracy and robustness. Finally, the proposed algorithm is applied to a semi-physical experimental platform to verify its feasibility.

Rapid Detection of Iron Ore and Mining Areas Based on MSSA-BNVTELM, Visible—Infrared Spectroscopy, and Remote Sensing

“…SSA, as a swarm intelligence optimization algorithm, has proven its ability to search for optimization [35][36][37]. The position of the i-th sparrow is…”

Dung Beetle Optimized Fuzzy PID Algorithm Applied in Four-Bar Target Temperature Control System

“…The results indicated that the PSO-Fuzzy PID scheme significantly reduced disturbance adjustment time and eliminated overshoot, exhibiting superior control performance, although it might fall into local optima during computation, leading to inaccurate parameter adjustments. Mingsan Ouyang et al [15] introduced an improved sparrow search algorithm (ISSA) to optimize PID parameters in the temperature control process of a continuous stirred tank reactor (CSTR). Experimental results showed improved transient and steady-state performance of the reactor temperature control with good precision and robustness, although the convergence was poor after enhancing the capability to escape local minima.…”

Multi-Zone Integrated Iterative-Decoupling Control of Temperature Field of Large-Scale Vertical Quenching Furnaces Based on ESRNN

“…The mechanism modeling method to obtain the temperature distribution is more explainable; however, the establishment of the model relies on many hypothetical conditions, many parameters require identification and the current solution process has low efficiency. The numerical simulation method is another method to intuitively display the temperature distribution [8][9][10][11]. A new methodology in [12] was proposed for converting the steady periodic operation of a metal-gas system into a steady-state problem for the reheating furnace, which significantly reduces the calculation time.…”