Kinematic-Model-Free Predictive Control for Robotic Manipulator Target Reaching With Obstacle Avoidance [PDF]
Frontiers in Robotics and AI, 2022 Model predictive control is a widely used optimal control method for robot path planning and obstacle avoidance. This control method, however, requires a system model to optimize control over a finite time horizon and possible trajectories. Certain types
Ahmad AlAttar +3 more
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Model-Free Predictive Control and Its Applications
Energies, 2022 Predictive control offers many advantages such as simple design and a systematic way to handle constraints. Model predictive control (MPC) belongs to predictive control, which uses a model of the system for predictions used in predictive control. A major
Muhammad Nauman +2 more
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Model-Free Predictive Control of Motor Drives and Power Converters: A Review
IEEE Access, 2021 Predictive control has emerged as a promising control method in a variety of technological fields. Model predictive control, as one of the subdivisions of this control method, has found a growing number of applications in power electronics and motor ...
Mohammad Khalilzadeh +3 more
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An Improved Model-Free Current Predictive Control Method for SPMSM Drives
IEEE Access, 2021 Traditional model predictive current control (MPCC) method depends on motor model for predictive control, when the motor parameters change with the working conditions, the predictive performance of MPCC will be deteriorated.
Xuerong Li +5 more
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Model-Free Neural Network-Based Predictive Control for Robust Operation of Power Converters
Energies, 2021 An accurate definition of a system model significantly affects the performance of model-based control strategies, for example, model predictive control (MPC).
Sanaz Sabzevari +4 more
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Model-Free Predictive Current Control of a Voltage Source Inverter
IEEE Access, 2020 Conventional model predictive control (MPC) of power converter has been widely applied to power inverters achieving high performance, fast dynamic response, and accurate transient control of power converter. However, the MPC strategy is highly reliant on
Jose Rodriguez +5 more
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Observer-Based Model-Free Adaptive Sliding Mode Predictive Control
IEEE Access, 2023 This paper proposes a new observer-based model-free adaptive sliding mode predictive control method (MFASPC) for discrete-time nonlinear systems. This scheme first equates the discrete-time nonlinear system to a linear form using a data-driven compact ...
Bing Ren, Guangqing Bao
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Fractional-Order Model-Free Predictive Control for Voltage Source Inverters
Fractal and Fractional, 2023 Currently, a two-level voltage source inverter (2L-VSI) is regarded as the cornerstone of modern industrial applications. However, the control of VSIs is a challenging task due to their nonlinear and time-varying nature. This paper proposes employing the
Hani Albalawi +6 more
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Toward Data-Driven Optimal Control: A Systematic Review of the Landscape
IEEE Access, 2022 This literature review extends and contributes to research on the development of data-driven optimal control. Previous reviews have documented the development of model-based and data-driven control in isolation and have not critically reviewed ...
Krupa Prag +2 more
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Three‐vector model‐free predictive control for permanent magnet synchronous motor
IET Power Electronics, 2023 A three‐vector model‐free predictive control (TV‐MFPC) strategy is proposed to address the problem of model predictive control systems performance degradation caused by parameter mismatch and inverter dead‐zone.
Dingdou Wen, Yanqin Zhang, Yang Zhang
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