Performance Evaluation of EHA System using Weight Aggregation Strategy in MOPSO-PID

Abstract

In this paper, an improved Particle Swarm Optimization (PSO) that combines the Proportional-Integral-Derivative (PID) controller for positioning control in Electro-Hydraulic Actuator (EHA) system is proposed. Conventionally, PSO with single objective function is designed to determine the optimal parameters of the controller. However, PSO with single objective function might not solve the problem effectively. Hence, a Multi-Objective PSO (MOPSO) is proposed in this work. Two objective functions will be used in the optimization task, which includes mean error and overshoot percentage. The most popular method in MOPSO is Linear Weight Summation (LWS). This paper focuses on investigating the effect of different weight factors combination between mean error and overshoot. Time domain analysis such as overshoot percentage, steady-state error, and mean error will be used to analyse the positioning performance of the EHA system. The results showed that the EHA system performed better by using the best combination of weight factors between mean error and overshoot.

Effects of Fractional Order on Performance of FOSMC for Speed Control of PMSM

“…Simulation and experimental results in this work proves that selection of fractional order integration, α and order of fractional order differentiation, β plays an important role in determining the performance of the proposed FOSMC-PID controller in terms of speed tracking, disturbance rejection and chattering reduction abilities. In future work, optimization algorithm e.g., using PSO should be incorporated into the proposed FOSMC-PID speed controller of PMSM to tune the parameters α and β [26]. Although fractional order sliding mode controller is a promising enhancement, selection of order values is crucial to avoid not only insignificant result, but in worse case, causes deteriorative effects to the system.…”

The Comparison of P, PI and PID Strategy Performance as Temperature Controller in Active Iris Damper for Centralized Air Conditioning System

“…Not limited in temperature controlling, Mohd Nadzri Mamat et al, [9] also implement PID feedback control with modified Zeigler-Nichols tuning method in their SEPIC-Boost Converter. Besides, Chai Mau Shern et al, [10] had improved the Particle Swarm Optimization (PSO) by combining the PID controller into the system for positioning control in their proposed Electro-Hydraulic Actuator (EHA) system.…”