This paper is concerned with the proportional-integral-derivative (PID) control problem for a greenhouse environmental system under the event-triggered mechanism (ETM) using the decomposition-based multi-objective evolutionary algorithm (MOEA/D). To reduce network resource consumption, ETM is implemented in the communication channels between the sensors and the controller. Firstly, a greenhouse environmental system model based on temperature variations is adopted. Secondly,the energy consumption and accuracy are used as performance metrics to construct the objective functions. Furthermore, the MOEA/D is employed under the ETM to optimize the established objective functions, obtaining the Pareto optimal solutions, and subsequently tuning the parameters of the PID controller. Finally, the simulation results validate the effectiveness of the proposed event-based PID control strategy using MOEA/D.
- Open Access
- Article
Event-Based PID Control for Greenhouse Environment
- Chun Dong,
- Yutao Xue,
- Hua Yang *
Author Information
Received: 01 Sep 2025 | Revised: 25 Nov 2025 | Accepted: 07 Feb 2026 | Published: 06 Mar 2026
Abstract
Keywords
PID control | event-triggered mechanism (ETM) | decomposition-based multi-objective evolutionary algorithm (MOEA/D)
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