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Temperature Control of Nonlinear Continuous Stirred Tank Reactors Using an Enhanced Nature-Inspired Optimizer and

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This study introduces an enhanced joint-opposition artificial lemming algorithm (JOS-ALA) for tuning fractional-order PID (FOPID) controllers in continuous stirred tank reactors (CSTRs). The JOS-ALA significantly improves temperature control precision and robustness in nonlinear CSTR systems.

Keywords:
artificial lemming algorithmcontinuous stirred tank reactorfractional-order controllerjoint opposite selectiontemperature management

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Area of Science:

  • Process Control Engineering
  • Chemical Engineering
  • Optimization Algorithms

Background:

  • Nonlinear continuous stirred tank reactor (CSTR) temperature control is challenging due to nonlinearities and disturbances.
  • Conventional proportional-integral-derivative (PID) controllers often lack the necessary robustness and precision for CSTR systems.
  • Advanced optimization techniques are required for effective CSTR temperature regulation.

Purpose of the Study:

  • To propose an enhanced joint-opposition artificial lemming algorithm (JOS-ALA) for optimal tuning of fractional-order PID (FOPID) controllers.
  • To apply the JOS-ALA tuned FOPID controller to nonlinear CSTR temperature control.
  • To evaluate the performance and robustness of the proposed JOS-ALA-FOPID approach against other metaheuristic algorithms.

Main Methods:

  • Development of the JOS-ALA by incorporating a joint opposite selection mechanism into the artificial lemming algorithm (ALA).
  • Linearization of a nonlinear CSTR model around a stable operating point for controller design.
  • Tuning of FOPID controller parameters by minimizing a composite cost function using the JOS-ALA.
  • Benchmarking against ALA, EEFO, L-SHADE, iAEFA, and L-SRTDE using extensive simulations.

Main Results:

  • The JOS-ALA-tuned FOPID controller achieved superior performance, with the lowest mean cost function value (0.1959).
  • The proposed controller eliminated overshoot and achieved a normalized steady-state error of 4.7290 × 10-4.
  • Faster transient response, improved robustness against disturbances and noise, and statistically significant improvements (p < 0.05) were observed.

Conclusions:

  • The JOS-ALA provides an effective and reliable optimization framework for high-precision temperature control in nonlinear CSTRs.
  • The proposed JOS-ALA-FOPID controller demonstrates superior performance and robustness compared to existing methods.
  • The JOS-ALA has strong potential for broader applications in complex process control problems.