scholarly journals I-PD Controller Design for Systems described by Fuzzy Model using Coefficient Diagram Method

Author(s):  
Masaya SASAKI ◽  
Hee-Hyol LEE ◽  
Michio MIYAZAKI
Aerospace ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. 45
Author(s):  
Ekachai Asa ◽  
Yoshio Yamamoto

This research presents an automatic flight control system whose advantage is its ease of modification or maintenance while still effectively meeting the system’s performance requirement. This research proposes a mixed servo state-feedback system for controlling aircraft longitudinal and lateral-directional motion simultaneously based on the coefficient diagram method or CDM as the controller design methodology. The structure of this mixed servo state-feedback system is intuitive and straightforward, while CDM’s design processes are clear. Simulation results with aircraft linear and nonlinear models exhibit excellent performance in stabilizing and tracking the reference commands for both longitudinal and lateral-directional motion.


Entropy ◽  
2021 ◽  
Vol 23 (9) ◽  
pp. 1180
Author(s):  
Kai Liu ◽  
Fanwei Meng ◽  
Shengya Meng ◽  
Chonghui Wang

The coupling between variables in the multi-input multi-output (MIMO) systems brings difficulties to the design of the controller. Aiming at this problem, this paper combines the particle swarm optimization (PSO) with the coefficient diagram method (CDM) and proposes a robust controller design strategy for the MIMO systems. The decoupling problem is transformed into a compensator parameter optimization problem, and PSO optimizes the compensator parameters to reduce the coupling effect in the MIMO systems. For the MIMO system with measurement noise, the effectiveness of CDM in processing measurement noise is analyzed. This paper gives the control design steps of the MIMO systems. Finally, simulation experiments of four typical MIMO systems demonstrate the effectiveness of the proposed method.


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