Claim Missing Document
Check
Articles

Found 2 Documents
Search

Cross-Coupled PID Control for Dual DC Motors: Simulation and Experimental Evaluation under Dynamic Loads Riky Dwi Puriyanto; Haris Imam Karim Fathurrahman; Efa Wakhidatus Solikhah
Control Systems and Optimization Letters Vol 4, No 2 (2026)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v4i2.339

Abstract

Synchronization control of multiple DC motors is essential in various industrial applications, including dual-drive systems, gantry mechanisms, and autonomous mobile platforms, where synchronization errors may degrade positioning accuracy and mechanical reliability. Conventional independent PID controllers are unable to compensate for asymmetric disturbances occurring between motors, resulting in synchronization deviations under varying load conditions. This study proposes a Cross-Coupled Control Proportional–Integral–Derivative (CCC-PID) controller integrated with a Kalman Filter to improve synchronization accuracy and disturbance rejection in a dual DC motor system. First, mathematical models of two DC motors were identified using the MATLAB System Identification Toolbox, yielding second-order transfer functions with Best Fit accuracies of 93.11% and 92.78%, respectively. The identified models were employed for controller design and simulation, followed by real-time implementation on a hardware platform. Controller performance was evaluated using the maximum synchronization error (|ε|_max), synchronization recovery time (t_sync), Integral of Time-weighted Absolute Synchronization Error (ITASE), and Tracking-to-Synchronization Ratio (ρ_sync). Simulation results demonstrate that increasing the cross-coupling gain significantly enhances synchronization performance, reducing |ε|_max from 14.44 RPM to 0.34 RPM and ITASE from 7.81 to 0.11. Under dynamic load disturbances, the proposed CCC-PID reduced the maximum synchronization error by 49.8%, decreased ITASE by 86.6%, and shortened the synchronization recovery time from 0.90 s to 0.06 s compared with the conventional PID controller. Experimental validation further confirmed reliable synchronization under static loads of 100–400 g and dynamic loading conditions, while the Kalman Filter effectively suppressed encoder measurement noise, producing smoother RPM feedback and more stable control actions. These results demonstrate that the proposed CCC-PID with Kalman Filter provides accurate synchronization, fast disturbance recovery, and robust operation, making it a practical solution for high-performance dual DC motor synchronization systems.
The Impact of Robotics and Artifical Intelligence on Entrepreneurial Skills Development and Marketing Innovation Efa Wakhidatus Solikhah; Riky Dwi Puriyanto
Ilomata International Journal of Management Vol. 7 No. 4 (2026): October 2026
Publisher : Yayasan Sinergi Kawula Muda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61194/ijjm.v7i4.2322

Abstract

The rapid advancement of robotics and artificial intelligence (AI) has transformed business operations and accelerated digital innovation among technology startups. However, limited studies have simultaneously examined the roles of AI adoption, technological infrastructure, and digital entrepreneurship literacy in shaping digital entrepreneurial capability, marketing innovation, and entrepreneurial performance. This study investigates these relationships within technology startups in Yogyakarta, Indonesia. A quantitative approach was employed using survey data collected from startup founders, managers, and directors. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS. The findings reveal that robotics and AI adoption significantly enhances digital marketing innovation but does not have a significant effect on digital entrepreneurial capability. Technological infrastructure positively influences both digital marketing innovation and digital entrepreneurial capability, while digital entrepreneurship literacy significantly improves digital entrepreneurial capability but shows no significant impact on digital marketing innovation. Furthermore, digital marketing innovation and digital entrepreneurial capability positively contribute to entrepreneurial performance. These findings highlight that the benefits of robotics and AI adoption are primarily realized through innovation-oriented mechanisms rather than direct capability development. This study contributes to the digital entrepreneurship literature by providing empirical evidence from technology startups in an emerging digital ecosystem and emphasizing the importance of infrastructure readiness and entrepreneurial literacy in improving organizational performance.