MIMO Model-Free Control with Channel-Specific Factors
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Solution Overview
Problem
Existing MIMO partial-form model-free control methods with a same-factor structure struggle to achieve ideal control performance in complex, strongly nonlinear MIMO systems with different characteristics between control channels, limiting their applicability.
Innovation Solution
The MIMO different-factor partial-form model-free control method uses distinct penalty factors and step-size factors for each control input, allowing for more precise control by calculating the i-th control input ui(k) with unique λi and ρi,p values, enabling better adaptation to diverse control channel characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If the same-factor structure is used in MIMO partial-form model-free control, then the implementation is concise and computational burden is low, but the control performance deteriorates in strongly nonlinear MIMO systems with different characteristics between control channels
Solution Approach 1:
The patent applies local quality by allowing each control input channel to have its own distinct penalty factor λi and step-size factors ρi,p, rather than using uniform factors for all channels. This enables each channel to be optimized according to its specific characteristics, improving control accuracy for strongly nonlinear MIMO systems while maintaining the model-free approach's implementation simplicity.
2Device complexity
If the same-factor structure is used in MIMO partial-form model-free control, then the control scheme is simple, but the adaptability to complex plants with different control channel characteristics deteriorates
Solution Approach 1:
The patent changes the parameters from uniform penalty factor λ and step-size factors ρ to channel-specific parameters λi and ρi,p for each control input i. This parameter differentiation enables the control scheme to adapt to complex plants with different control channel characteristics, while the overall structure remains relatively simple and easy to implement.
Data Source
AI summary
The invention discloses a MIMO different-factor partial-form model-free control method. In view of the limitations of the existing MIMO partial-form model-free control method with the same-factor structure, namely, at time k, different control inputs in the control input vector can only use the same values of penalty factor and step-size factors, the invention proposes a MIMO partial-form model-free control method with the different-factor structure, namely, at time k, different control inputs in the control input vector can use different values of penalty factors and/or step-size factors, which can solve control problems of strongly nonlinear MIMO systems with different characteristics between control channels widely existing in complex plants. Compared with the existing control method, the inventive method has higher control accuracy, stronger stability and wider applicability.